Aistats 2020 Accepted Papers

(AISTATS), 2020 Machine Learning, 2019 (the paper was also accepted for presentation in the ECML-PKDD. Two papers, including "Learnable Bernoulli dropout for Bayesian deep learning" by Shahin, Randy, and Siamak are accepted by AISTATS 2020. To appear in ACM Transactions on Database Systems (TODS), 2020 (accepted Dec 2019) Special issue of best papers at PODS 2018 arXiv report 1703. Conference Paper Reviewing. Recent Papers (2019/02/28) Several papers are accepted or just written on representation learning for graph embedding and similarity learning. In this paper d = 3, n = 1, 2, and N = 1, 2, 3. Hong, ”Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms”, IEEE Transactions on Signal Processing, accepted, July 2019. Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents. The conference is filled with rich scientifc activities, which include keynotes. Applied and Computational Harmonic Analysis, accepted, 2020. All accepted papers will be presented at the Conference either as contributed talks or as posters, and will be published in the AISTATS Conference Proceedings in the Journal of Machine Learning Research Workshop and Conference Proceedings series. 3, 2020] New paper "Distributionally Robust Bayesian Optimization" is now available on arXiv. ) has been accepted by the journal Frontiers. Solving Approximate Wasserstein GANs to Stationarity. Introducing our AISTATS papers. The Thirty-third annual conference is held Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center. December 2019: The AI chair proposal CaMeLOt (CooperAtive MachinE Leanrning and OpTimization) has been selected by the ANR. January 2020 arXiv: arXiv:2001. The Association for Computational Linguistics (ACL) invites you to participate in the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) in Minneapolis, USA. (Oral presentation at NeurIPS 2018 Workshop on Deep Reinforcement Learning; top ~10 out of ~130 accepted papers) Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine. Conference and Workshop Papers Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning (Z. ) 2015 Seth Flaxman, Andrew Wilson, Daniel Neill, Hannes Nickisch, and Alex Smola. A paper accepted for IJCAI 2020 04/25, 2020; A paper accepted to CVPR 2020 03/05, 2020; A paper accepted to ECAI 2020 01/15, 2020; Two papers accepted to AISTATS 2020 01/07, 2020; A paper accepted for ESWA Journal 11/29, 2019; One paper accepted to AAAI 2020 11/11, 2019; A paper on chemical network prediction accepted for BMC Bioinformatics 09. " Joint work with Y. Two Papers at AISTATS 2020 The DSP group will present two papers at the International Conference on Artificial Intelligence and Statistics (AISTATS) conference in June 2020 in Palermo, Sicily, Italy D. Dec 23 Paper accepted to RECOMB 2020. Founded in 1979, the Association for the Advancement of Artificial Intelligence (AAAI) (formerly the American Association for Artificial Intelligence) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. The below was received by authors of accepted manuscripts. Abstract: In this paper, we theoretically prove that adding one special neuron per output unit eliminates all suboptimal local minima of any deep neural network, for multi-class classification. 4thIEEE Global Conf. EMNLP, 2019, Hong Kong, China. 25 March 2020 Our paper "Phase transition for parameter learning of Hidden Markov Models" (Rau et al. (2019 Fall) Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm is accepted at the Advances in Neural Information Processing Systems (NeurIPS. Shulgin, Y. In Proceedings of the AISTATS. January 2020: We are happy to announce that our paper The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions has been accepted for publication at AISTATS 2020. Robot Learning Workshop at NeurIPS 2019. Workshop Paper [W10] is a preliminary version of this paper V. Accepted Papers First Round MemShield: GPU-assisted software memory encryption - Pierpaolo Santucci (Epigenesys s. International Conference on Artificial Intelligence and Statistics (AISTATS), 2020. Our paper titled Diffindo! Differentially Private Learning with Noisy Labels has been accepted to appear in the PPAI 2020 workshop as an oral presentation. 12] Talk at Alan Turing Institute. 03 Jun 2020 AISTATS 2020 all the accepted papers will be published by Open access journal. January 7, 2020: Our paper: A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning (N. January 31, 2020. [Jan 2017] Paper accepted at ICRA 2017. News: new A paper on scattering for deep learning accepted to ECCV 2018. Virginia Aglietti has paper accepted to AISTATS 2020. Wen, and B. Visit of Alexandre D'Aspremont, INRIA (SIERRA), Paris (6. 2017, paper accepted: conference paper (joint work with Songtao and Zhengdao), entitled “A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization, ” has been accepted by AISTATS. Photograph by Amin Adibi. Presented our work on Model Fusion via Optimal Transport at the OTML workshop in NeurIPS (2019). Tough luck for you, and really hope you make it the next time around. Our Context Mover’s Distance paper is accepted at AISTATS 2020. ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. Theoretically, combining logic and probability in a unified representation and building general-purpose reasoning tools for it has been the dream of AI, dating back. Longyun got 1 paper accepted at ISIT. Muandet and I. The Sponsor Portal can be accessed through the ICLR Sponsor Information page found here: ICLR Sponsor Information. Subscribe to the ISBI Mailing List. , that any required changes have been made, and that other changes made by the authors, perhaps in response to reviewer. Papers below are listed by year of publication, or by year of submission before they are published. AISTATS 2020 Paper: Minimax Rank-1 Estimation. Iutzeler, from whose experience I learned a lot about optimization. [New] [C66]. other x-risk, geopolitical strategy, government involvement, analysis of the strategic. 2015) to documents published in three previous calendar years (e. Our paper Deep Adversarial Canonical Correlation Analysis is accepted by SDM 2020. Xiaojin (Jerry) Zhu Contact [email protected] A preliminary draft of the ideas in this work was published in the AAAI, 2019 Student Abstract proceedings; 13/9/2019 I taught an invited lecture on. Our two papers on "Randomized Exploration in Generalized Linear Bandits" and "Conservative Exploration in Reinforcement Learning" got accepted at AISTATS-2020. Received a free ticket to NeurIPS 2019 as a best reviewer award! Our work on Metareasoning in Modular Software Systems was invited to ICML 2019 Workshop on Reinforcement Learning for Real Life. of t he 23rd Int'l Conf. Levenberg–Marquardt and Line-Search Extended Kalman Smoothers. May 24th, 2017. 2019: I will serve as a PC member for AAAI 2020; Jul. 00 weeks 00 days 00:00:00. Conference Paper Reviewing. Kenji Kawaguchi* and Haihao Lu*. (AISTATS), 2013. Our paper on low-rank regularization and solution uniqueness in over-parameterized matrix sensing is accepted at the AISTATS conference this year (Palermo, Italy). Adaptive Neural Nets for Fast Test-Time Prediction. Society for Artificial Intelligence and Statistics. November 2019: We are pleased to announce that two papers have been accepted to POPL 2020:. Conference & Workshop Sessions. [12/2019] Area Chair of MIDL 2020. New preprint: A general framework for score-based learning of nonparametric DAG models. CV) [ pdf , other ] Title: The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes. Leave-one-out cross-validation for Bayesian model comparison in large data. November 13, 2019. As an innovation for AISTATS*2010, some time at the conference will be set aside for "breaking news" posters submitted on the basis of a one-page abstract. This meeting is co-located with the SIAM Conference on Mathematics of Data Science (MDS20), May 5-8, 2020. The conference will take place in Palermo, Italy in early June 2020. The 2020 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide Read more…. The ISBI 2019 video is also licensed under CC BY. Stochastic Variance-Reduced Cubic Regularized Newton Methods Dongruo Zhou, Pan Xu and Quanquan Gu, Accepted by the Journal of Machine Learning Research (JMLR), 2019. Proceedings of Machine Learning Research on 16-18 April 2019 Published as Volume 89 by the Proceedings of Machine Learning Research on 11 April 2019. Authors are encouraged to submit applications papers, as well as more traditional algorithms papers. [C17] N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement [ pdf ] Pedro P. However, in our recently accepted NIPS 2014 paper “Divide-and-Conquer Learning by Anchoring a Conical Hull“, we reduce lots of fundamental machine learning problems (a broad class of latent variable models, matrix factorization, clustering, etc. NeurIPS @ Montréal ·The Thirty-second Annual Conference on Neural Information Processing Systems (NIPS) Palais des Congrès de Montréal, Montréal CANADA. Gupta Personalizing Many Decisions with High-Dimensional Covariates, Working paper. Tsang and Ling Chen. Conference papers: Julien M. Generalization in Deep Learning. A paper with Juho Lee, Lancelot James, and François Caron has been accepted at AISTATS-2019. ), Emiliano Ingrassia (Epigenesys s. Date (America/Los_Angeles) #N#Workshop Application Open. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a VP Technologies at Qualcomm. com/978-3-030-44637-6 The. ) has been made available on arXiv. Authors must indicate at submission time if they wish their paper to be eligible for a student award by adding a footnote to the student's name saying "Eligible for best student paper award". [AISTATS] Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, and Amin Karbasi, “Quantized Frank-Wolfe: Faster Optimization, LowerCommunication, and Projection Free“, in AISTATS 2020. Virginia Aglietti has paper accepted to AISTATS 2020. Prior to joining Stanford University in 1994, he worked at AT&T Bell Laboratories for nine years, where he helped develop the statistical modeling environment popular in the R computing system. Wednesday, 3 June 2020. This paper proposes a disruptive system based on Blockchain using a Semantic Browser Expert System Bot with artificial intelligence called Blockchain Semantic Browser Expert System (BSBES) to look for and analyze relevant information that significantly represents the cryptocurrencies adoption patterns. Countdowns to top CV/NLP/ML/Robotics/AI conference deadlines. AAAI-18 Proceedings Papers The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) will be held February 2–7, 2018 at the Hilton New Orleans Riverside, New Orleans, Louisiana, USA. Here are a few papers that give a good overview of my research. He received his B. New sponsors to ICLR, please email us at 2020 ICLR Sponsor Prospectus Request, provide your contact information and you will receive the ICLR 2020 Sponsor Prospectus. Complex phenomena are often modeled with computationally intensive feed-forward simulations for which a tractable analytic likelihood does not exist. Submission due date: February 13, 2020. ; October, 2019: Presented Scale Invariant Power Iteration at the INFORMS Annual Meeting 2019. This paper has been accepted as an oral presentation by AISTATS 2018 with 4. Tue Dec 10th through Thu the 12th. [February 20] New paper on Asymptotics and optimal performance of empirical risk minimization accepted at AISTATS 2020. With four papers accepted at AISTATS 2020, our director of research James Hensman explains the impact of our work at the intersection of AI and statistics. Phan (IBM Research), Phuong Ha Nguyen (Uconn), Marten van Dijk (Uconn), and Quoc Tran-Dinh (UNC Chapel Hill). AISTATS 2020 Call for Papers. Lawrence Mark Reid. Here are some stats (I made a half-hearted attempt at deduplicating institution names, but I definitely didn't get them all). First version: March 2020. [01/2020] One paper accepted to ICRA 2020. New paper on risk-aware linear-quadratic regulators under preparation (to be submitted; see “Publications” for a preprint soon). Three papers from the group have been accepted at AISTATS 2017 and one paper at ICLR 2017. | (python code) Fulton Wang and Cynthia Rudin -Winner of Statistical Learning and Data Mining Student Paper Competition, American Statistical Association, 2015. Two papers accepted at AISTATS 2019 -- one on scalable GP inference and one on compressing random features for kernel matrix approximation; Our Hilbert coresets paper was accepted to the Journal of Machine Learning Research. The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020). Polyanskiy, “Information storage in the stochastic Ising model at low temperature”. Publications (Peer-reviewed papers sorted by year) 2020. Comments: This article was submitted to EuroVis 2020 on 5 December 2020. CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. Kevin Jamieson is an Assistant Professor in the Paul G. Solicited topics include, but are not limited to:. SCCA using the absolute. 2019] Paper with Zhiwei, Stephen, Kannan and Philip accepted to SDM 2020. 2020: Two papers accepted at AISTATS 2020. Journal paper: February 2020 (First version, August 2018): Author: Tianxiao Sun, Ion Necoara, and Q. Peyré, has been accepted at AISTATS. Bindel, and D. In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), AISTATS, 2020; Corruption-Tolerant Gaussian Process Bandit Optimization; I. [C49] Anamay Chaturvedi and Jonathan Scarlett, \Learning Gaussian graphical models via multi- plicative weights," accepted to International Conference on Arti cial Intelligence and Statistics. Expired (Mar 7, 2020) International Conference on Artificial Intelligence and Machine Learning - CAIML 2020 Vancouver, Canada: May 30 - May 31, 2020: Expired (Mar 7, 2020) Machine Learning Week Las Vegas, NV: May 31 - Jun 4, 2020: NA: Discount: AISTATS Palermo, Italy: Jun 3 - Jun 5, 2020. Mirrokni, and Afshin Rostamizadeh, " Categorical Feature Compression. Congrats to Austin and Dheeraj. We are currently evaluating the possibility of postponing the conference to September in the same location. Co-organizer, NIPS Workshop on Advances on Approximate Bayesian Inference (2017, 2016, 2015) Teaching; Spring 2020: Deep Generative Models (CS 295) Winter. November 2019: We are pleased to announce that two papers have been accepted to POPL 2020:. Our paper on Neural Network Coding has been accepted to ICC 2020! January 2020: I submitted two papers to ISIT 2020. 2019: I will serve as a PC member for AAAI 2020; Jul. 2020: AISTATS paper accepted: Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. One has been selected for spotlight presentation (there are 168 spotlights among 1011 acceptance out of 4856 submissions). [earlier arXiv version ] Published papers: Sanjoy Dasgupta, Samory Kpotufe. Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness Antônio H. Our paper on low-rank regularization and solution uniqueness in over-parameterized matrix sensing is accepted at the AISTATS conference this year (Palermo, Italy). Schön To appear in the Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, AISTATS (2020). This paper offers a detailed analysis of ImageNet in its current state: 12 subtrees with 5247 synsets and 3. Wallach and H. Ruoxi Jia , David Dao , Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gurel, Bo Li, Ce Zhang, Dawn Song, Costas Spanos: "Towards E fficient Data Valuation Based on the Shapley Value". COVID-19 impact on IEEE VIS 2020. (a) Internal and external. Tolga Bolukbasi joins Google Brain. Governance & Risk Control (GRC) Conference 2020 | 17-19 August | ISACA. 1 paper accepted to AIStats 2020, about density ratio estimation for text generation. Optimal array pattern synthesis via weighting matrix (best student paper award finalist). Westermann and N. This document clarifies this year's expectations regarding the release of code with the camera ready version of accepted papers that fall under the policy (due on October 27, 2019). Elimination of All Bad Local Minima in Deep Learning. Dec 23 Paper accepted to RECOMB 2020. In International Conference on Artificial Intelligence and Statistics (AISTATS), accepted, 2020. 3, 2020] New paper "Distributionally Robust Bayesian Optimization" is now available on arXiv. I will be serving on the program committee for ALT 2015. Sponsors at the Platinum level can apply to participate in the EXPO. This work is a result of my collaboration with J. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings. Two talks entitled "Sparsistency of L1-Regularized M-Estimators" by Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, and Volkan Cevher and "Stochastic Spectral Descent for Restricted Boltzmann Machines" by David Carlson, Volkan Cevher, and Lawrence Carin as well as two posters "WASP: Scalable Bayes via barycenters of subset posteriors" by Sanvesh Srivastava, Volkan Cevher, Quoc Tran Dinh. Yang and C. Gold Award) and a best paper award. 10742 Bibcode: 2020arXiv200110742Y Keywords: Computer Science - Machine Learning; Computer Science - Artificial Intelligence; Statistics - Machine Learning; E-Print: Includes appendix. " Joint work with Y. Gerhard Neumann Curriculum Vitæ 101AngelicaRoad LN11BE,Lincoln,UK 2017 Best Paper Finalist versityofLincoln,UnitedKingdom,accepted. Ziming Zhang is. Publications (Peer-reviewed papers sorted by year) 2020. A paper Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning by Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov and Dmitry Vetrov has been accepted to the conference track of ICLR 2020, and Deterministic Decoding for Discrete Data in Variational Autoencoders by Daniil Polykovskiy and Dmitry Vetrov has been accepted to AISTATS 2020. The 2020 conference will be held from May 31 to June 4, 2020 at the Palais des Congrès de Paris in Paris, France. Jakub Tomczak My first experience with evolutionary robotics 🙉 Learning a neural-network-based controller of a robot with evolvable morphology. News! 2020, Jan. 2012 - 14). IEEE Region 10 Symposium (TENSYMP) 2020 will be held on Hotel Pan Pacific Sonargaon Dhaka, Dhaka, Bangladesh from 05 June to 07 June 2020. 4/2020: Paper with Noveen accepted to SIGIR 2020 4/2020: Some media about our recipe generation paper: Science Node. Muandet and I. Generalization in Deep Learning. In addition to the design of such methods and structures, the scope also includes their use, performance analysis, and the mathematical problems related to their development or limitations. Tong* Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?. Introducing our AISTATS papers. 2020; I gave a tutorial on exploration-exploitation in RL with M. This section gathers information about conferences, special sessions, and tutorials organized by SIPTA members in past or upcoming conferences or that may be of interest to the SIPTA community. 2017, paper accepted: conference paper (joint work with Songtao and Zhengdao), entitled “A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization, ” has been accepted by AISTATS. We are introducing some new programming and themes to make this conference a “signature event” for consulting engineers, contractors, researchers, owners, and students. 2018/06/24. Our lateset work with Tencent AI lab, Unsupervised Adversarial Graph Alignment with Graph Embedding. [December 19] New paper on Double Descent for high-dimensional binary classification. Johan Håstad is a theoretical computer scientist best known for his work on complexity theory. The Proceedings of Machine Learning Research (formerly JMLR Workshop and Conference Proceedings) is a series aimed specifically at publishing machine learning research presented at workshops and conferences. Four papers from LIONS' lab have been accepted to the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) and one paper to the 29th International Conference on Algorithmic Learning Theory (ALT 2018), co-located with AISTATS this year. From this location, you can find information about current, past, and forthcoming conferences sponsored by the Association for the Advancement of Artificial Intelligence. Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, and Wei-Ying Ma. And the notification came with the following review: “Rarely it is that there is a paper that proves a beautiful new theoretical result, explaining and simplifying previous work, and on top of that shows how it can be used to improve state-of-the-art practical algorithms. Solving Approximate Wasserstein GANs to Stationarity. Technical paper reviewer: Conference proceedings of NeurIPS, COLT, AISTATS, ICCV 2018{2020 Journal publications: Journal of Machine Learning Research Applied and Computational Harmonic Analysis IEEE Transactions on: Signal Processing, Pattern Analysis and Machine Intelligence, Medical Imaging, Computational Imaging. Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018 (accepted) 2017: Linxi Liu, Dangna Li, Wing H. The ICML 2020 Sponsor Portal opened on Monday, April 6, 2020. News! 2020, Jan. WACV 2020 solicits high-quality, original submissions describing research on computer vision applications. Machine translation for medical terminology. Malick and F. Paper Deep Generative Models of Sparse and Overdispersed Discrete Data has been accepted to AISTATS 2020 Paper Three-Player Wasserstein GAN via Amortised Duality has been accepted to IJCAI 2019 Paper Learning How to Active Learn by Dreaming has been accepted to ACL 2019. The Web Conference 2020 Local Organizing Committees has been working very hard behind the scenes in making the 2020 edition a safe and successful one in considering of that the COVID-19 is an extraordinary global public health issue. Dwaracherla, X. The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale. [2020/02] 2 Papers were accepted to CVPR 2020. Two papers accepted! One at COLT 2015, another at the IEEE Transactions on Information Theory. (accepted) [ code at github] 2019. 2019: one paper accepted at DAI 2019; Aug. 2018/05/11. Complex phenomena are often modeled with computationally intensive feed-forward simulations for which a tractable analytic likelihood does not exist. Best paper award, AISTATS 2018 Top 10 Papers of 2016-2017 in Regulatory and Systems Genomics (RECOMB/ISCB) 2017 Best poster award, ICML Workshop on Computational Biology 2016. If you are interested in joining the Statistical Machine Learning group, please check out our openings. New paper accepted in CVIU! Two Papers accepted at ICIAP 2019; We will organize AISTATS 2020 in Palermo!! Research. 2020-01-06: One paper was accepted to AISTATS 2020 - "A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning" - joint work with Nhan H. The conference will take place in Palermo, Italy in early June 2020. 11546 (2019) , Accepted for publication, Proc. Three papers on semantics of rule-based data repair, causal relational learning, and computation of local sensitivity accepted to SIGMOD 2020! Congrats Amir, Harsh, Yuchao, and all collaborators! Causal inference for networks paper accepted to AISTATS 2020!. So, the camera ready copy should be trimmed to be included in the proceedings. Our paper on “Optimal Primal-Dual Algorithms for Distributed Optimization over Networks” has been accepted by AISTATS for publication, 1/2020. The review process was quite long and included several revisions, but I’m happy I got it accepted before my graduation. Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability (arXiv) (AISTATS 2019 accepted papers) A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks (arXiv) (ICML 2018). Among the machine learning methods, Gene expression programming (GEP) has been accepted as an effective approach for solving many hydrologic and hydraulic problems (Guven and Gunal, 2008, Azamathulla, 2012, Sattar, 2014a, Sattar, 2014b, El-Hakeem and Sattar, 2015, Najafzadeh and Sattar, 2015, Sattar and Gharabaghi, 2015, Sattar et al. Schön To appear in the Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, AISTATS (2020). ∙ 0 ∙ share This article surveys computational methods for posterior inference with intractable likelihoods, that is where the likelihood function is unavailable in closed form, or where evaluation of the likelihood is infeasible. 8 Taesup is visiting Harvard SEAS as a visiting scholar (sabbatical leave). Has anyone received the news yet? Edit: please feel free to comment/discuss about your results and submission experience here as well in order to further improve the quality of the conference. January 31, 2020. A paper with Juho Lee, Lancelot James, and François Caron has been accepted at AISTATS-2019. Accepted at AISTATS, 2020. AISTATS 2020 : International Conference on Artificial Intelligence and Statistics in Conferences Posted on July 29, 2019. (2019 Fall) Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm is accepted at the Advances in Neural Information Processing Systems (NeurIPS. Submissions will be accepted as contributed talks or poster presentations. arXiv:1907. Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen Roberts. Registration to ICAART allows free access to the ICORES, BIOSTEC and ICPRAM conferences (as a non-speaker). Max Welling. Update on COVID-19, March 25th 2020: AISTATS 2020 will NOT be held on June 3-5, neither physically nor online. Generative adversarial networks (GAN) are widely used in medical image analysis tasks, such as medical image segmentation and synthesis. Wen, and B. of t he 23rd Int'l Conf. (For AAAI Fall and Spring Symposia, please see the Symposia area of the web. The main features of the detection algorithms are analysed and the most important techniques are classified into different strategies according to their type of image transformation and their main detection principle; at the same time their strengths and weaknesses are. 7 June 2017 Our paper "Models of acetylcholine and dopamine signals differentially improve neural representations" (Holca-Lamarre et al. One paper was accepted to AISTATS 2019. pdf, code with P. The Eighth annual conference is held Sun Apr 26th through Thu the 30th, 2020 at Millennium Hall. 09/2019: Paper accepted to ICBK'19. Signal and Information Processing (GlobalSIP’16), Symposium onSparse Signal Processing for Communications, Washington, DC, Dec. Conference Papers. Lilian Besson and Emilie Kaufmann. Baidu Research: 10 Technological Trends in 2020. Provably Correct Automatic Sub-Differentiation for Qualified Programs. January 6, 2020. La Palma, Canary Islands, Spain, April 21–23 2012. The deadline for uploading the final version of your paper is 29 February 2020, 15:59 UTC. Model-Agnostic Counterfactual Explanations for Consequential Decisions Proceedings of the 23rd International Conference on Artificial. Kirschner, I. Marco Baity-Jesi · Levent Sagun · Mario Geiger · Stefano Spigler · Gerard Arous · Chiara Cammarota · Yann LeCun · Matthieu Wyart · Giulio Biroli. This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems. [02/2020] Two papers accepted to IEEE TMI. January 2020: Two papers accepted by the International Conference on Artificial Intelligence and Statistics (AISTATS) 2020! Stochastic Linear Contextual Bandits with Diverse Contexts , by W. AAAI, New York, USA, 2020. Nonstochastic multiarmed bandits with unrestricted delays. 2019 ABC-strategy: budgeted experimental design for targeted causal structure discovery. Workshop paper on "Sparse matrix factorizations with simplex constraints'' by Qinqing Zheng, Martin Slawski and Matthias Hein accepted at the NIPS 2011 Workshop "Sparse Representation and Low. 11/10/2019 Our work on Options of Interest: Temporal Abstraction with Interest Functions has been accepted at AAAI, 2020. 2020/02/18 Our two papers have been accepted to The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020). Two papers accepted! One at COLT 2015, another at the IEEE Transactions on Information Theory. June 16 - 18, 2020. Signal and Information Processing (GlobalSIP’16), Symposium onSparse Signal Processing for Communications, Washington, DC, Dec. (03/2018) I will be serving as an Area Chair in ACCV 2018. Introducing M. AI/data-mining papers: full papers at UAI, RO-MAN (conversational agents), IJCAI (Q&A), KDD (real-time bidding) and AISTATS (spectral methods). He currently serves or has served the following roles: conference chair for AISTATS and CogSci, Action Editor of Machine Learning Journal, member of DARPA ISAT advisory group. The analyst’s Mobility is having a major impact on IT support paper by Terrence Cosgrove, published in February 2015, notes that by 2018, 40% of contact with the IT service desk will relate to. of t he 23rd Int'l Conf. Although one work was rejected, this constitutes a. We focus on the data-driven mode in this paper. Conference Acceptance Ratio Statistics admin July 24, 2010 July 24, 2018 Post 1 Comment Setting permissions for one file/directory to multiple groups in Linux →. , which is to solve the ODE model with different proposals of the parameters from the priors, find all the distances using 3. Learning the causal relationships that define a molecular system allows us to predict how the system will respond to different interventions. AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Bo Han is a postdoc fellow at RIKEN Center for Advanced Intelligence Project (RIKEN-AIP), advised by Masashi Sugiyama. IJCAI-ECAI-18, Stockholm, Sweden, July 13-19, 2018. Luca Cardelli. 02/2020, New paper on calibrating heterogenous datasets. Conference Papers. Möllenhoff, T. 2020-02: 3 papers on NLP have been accepted by ACL 2020 as long papers. of the 13rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, CA, USA, 2007. Google Scholar; Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2019: I will serve as a reviewer for AISTATS 2020; Aug. Title Authors; PrinTracker: Fingerprinting 3D Printers using Commodity Scanners: Zhengxiong Li (SUNY University at Buffalo), Aditya Singh Rathore (SUNY University at Buffalo), Chen Song (SUNY University at Buffalo), Wenyao Xu (SUNY University at Buffalo), Sheng Wei (Rutgers University), Yanzhi Wang (Northeastern University). NeuRIPS 2019 paper: Shallow RNN. Proceedings of Machine Learning Research on 16-18 April 2019 Published as Volume 89 by the Proceedings of Machine Learning Research on 11 April 2019. December 2019: The AI chair proposal CaMeLOt (CooperAtive MachinE Leanrning and OpTimization) has been selected by the ANR. Typical acceptance rates are in the 15%-30% range depending on the year, the location and the particular conference. is awarded with a 1st accessit of the "Prix de thèse de l'AFIA 2014" April 14: A paper accepted. We will organize AISTATS 2020 in Palermo!! → News. Jiang Lu, Sheng jin, Jian Liang and Changshui Zhang. Welcome! The 58th annual meeting of the Association for Computational Linguistics (ACL) will take place online from July 5th through July 10th, 2020. Probabilistic programming conference papers are often accepted at top research conferences, e. #N#Other Important Dates and Deadlines. One paper accepted in ICCV 2019. 2020/01/14 Topological Bayesian Optimization paper has been accepted to ECAI 2020. Yanglei Song*, Xiaohui Chen, Kengo Kato. on Artificial Intelligence and Statistics (AISTATS 2020), accepted. Fri, Dec 13 - Sat, Dec 14. Raphael got 1 paper accepted at ICML. Received a free ticket to NeurIPS 2019 as a best reviewer award! Our work on Metareasoning in Modular Software Systems was invited to ICML 2019 Workshop on Reinforcement Learning for Real Life. However, in our recently accepted NIPS 2014 paper “Divide-and-Conquer Learning by Anchoring a Conical Hull“, we reduce lots of fundamental machine learning problems (a broad class of latent variable models, matrix factorization, clustering, etc. 03 Jun 2019: I am guest-teaching two lectures on reinforcement learning at Stanford University in the AA203: Optimal and Learning-based Control course. Due to a large number of requests, the deadline for AsiaCCS 2019 will be extended until January 28 11:59:59pm NZDT. Grauman and N. First version: April 2019. We provide the first bounds on the regret of Thompson Sampling for continuum armed bandits under weak conditions on the function class containing the true function and sub-exponential observation noise. 4thIEEE Global Conf. Valera) has been accepted at AISTATS 2020! (7. Joelle Pineau will serve as the Reproducibility Chair for NeurIPS-2019, a new role created this year. Pan Li†, Niao He, and Olgica Milenkovic, “Quadratic Decomposable Submodular Function Minimization: Theory and Practice,” accepted to Journal of Machine Learning Research,, 2020. Our code will be released in Xfer. Expired (Mar 7, 2020) International Conference on Artificial Intelligence and Machine Learning - CAIML 2020 Vancouver, Canada: May 30 - May 31, 2020: Expired (Mar 7, 2020) Machine Learning Week Las Vegas, NV: May 31 - Jun 4, 2020: NA: Discount: AISTATS Palermo, Italy: Jun 3 - Jun 5, 2020. NeuRIPS 2019: Testing Changes in SBMs. Tecchio, Nikolay Atanasov, Shahin Shahrampour, and George J. Their titles are as follows: “Convex block-sparse linear regression with expanders, provably,” by A. In Proceedings of the AISTATS. The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) will be held in Palermo, Sicily, Italy from Wednesday, 3 June 2020 to Friday, 5 June 2020 at the Teatro Politeama. The content of this table is NOT final. 2019-11: 2 papers have been accepted by AAAI 2020. We are experimenting with a new code submission policy. Depending on the context of the observation, this compression can result in image artifacts that might introduce problems in the scientific interpretation of the data and might require the image to be retransmitted losslessly. Safe Testing Peter Grünwald, Rianne de Heide and Wouter Koolen arXiv 1906. He has a secondary appointment as a senior fellow at the Canadian Institute for Advanced Research (CIFAR). ACM MobiCom 2020, the Annual International Conference on Mobile Computing and Networking, is the twenty sixth in a series of annual conferences sponsored by ACM SIGMOBILE dedicated to addressing the challenges in the areas of mobile computing and wireless and mobile networking. Sun Dec 2nd through Sat the 8th, 2018. 3, 2020 or not. Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification. Three papers in AAAI 2020. org 814d 6 The 2020 edition of the ALT conference, held in San Diego, California kamalikac Website and CFP for the #neurips2019. Submissions will be accepted as poster presentations. New paper accepted to IJCAI 2019 (with Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Xue Lin, and Peter Chin): "Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy. Naoto Ohsaka, Tomoya Sakai, Akihiro Yabe, A Predictive Optimization Framework for Hierarchical Demand Matching. AISTATS and ICLR 2017 Accepted Papers Feb 15, 2017. 8% accepted ratio 4. Shimin Hu Shi-Min Hu is currently a professor at Tsinghua University, Beijing, and director of Tsinghua-Tencent joint Lab for Joint Laboratory for Internet Innovation Technology. Our lab was featured in SKKU Webzine! 19. Leave-one-out cross-validation for Bayesian model comparison in large data. These tools are under constant development from our research teams, who have had four papers accepted at this year's Artificial Intelligence and Statistics (AISTATS) conference. 10) they are in T3. Conference & Workshop Sessions. Their titles are as follows: “Convex block-sparse linear regression with expanders, provably,” by A. Attended ICML 2019 and CVPR 2019. 1/2020: Paper with Mehrab, Congzhe, Ethan, Diane, and Liangjie accepted to WWW 2020 12/2019: I will run the SoCal Machine Learning Symposium with Jingbo and Hao 12/2019: Paper w/ Hengrui accepted to SDM 2020. On Measuring and Mitigating Biased Inferences of Word Embeddings. Welcome from Conference Chairs. Bo Han is a postdoc fellow at RIKEN Center for Advanced Intelligence Project (RIKEN-AIP), advised by Masashi Sugiyama. Submission due date: February 13, 2020. A Farewell to Arms: Sequential reward maximization on a budget with a giving up option P Sharoff, Nishant Mehta, Ravi Ganti Accepted to AISTATS, 2020. Accepted for AISTATS 2020. The 26th International Conference on Neural Information Processing (ICONIP2019) aims at presentation of professional research results and enthusiastic discussions among researchers, scientists, and industry professionals who are working in neural network, deep learning and related bio-inspired computing fields. Jack Hessel, Lillian Lee, and David Mimno. Gaussian Sketching yields a JL lemma in RKHS. Wong partition based Bayesian multivariate density estimation method Advances in Neural Information Processing Systems2017, 4739-4747 Chang-Hung Tsai, Wan-Ju Yu, Wing Hung Wong, Chen-Yi Lee. Richtárik) 3. Statistics (AISTATS), 2020. \ifnum \statePaper =1 {\ifx \undefined\@runningauthor %. A preliminary draft of the ideas in this work was published in the AAAI, 2019 Student Abstract proceedings. Date Change! The AAAI-19 Call for Papers is now available here. Jiang Lu, Sheng jin, Jian Liang and Changshui Zhang. In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2020. Four papers from LIONS' lab have been accepted to the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) and one paper to the 29th International Conference on Algorithmic Learning Theory (ALT 2018), co-located with AISTATS this year. Sep 04 12:00 PM PDT. With four papers accepted at AISTATS 2020, our director of research James Hensman explains the impact of our work at the intersection of AI and statistics. 2018/05/12: 2 papers accepted to ICML'18. Our paper A Double Residual Compression Algorithm for Efficient Distributed Learning is accepted by AISTATS 2020. Welcome to the home page for the 2020 Winter Conference on Applications of Computer Vision (WACV ’20), the IEEE’s and the PAMI-TC’s premier meeting on applications of computer vision. 11/10/2019 Our work on Options of Interest: Temporal Abstraction with Interest Functions has been accepted at AAAI, 2020. Use Git or checkout with SVN using the web URL. 8, 2020] New paper "Corruption-Tolerant Gaussian Process Bandit Optimization" is now available on arXiv. The 2020 conference will have a workshop track following the main conference on Mar 4. 2018: papers accepted by NeurIPS18 and [email protected] ) 2015 Seth Flaxman, Andrew Wilson, Daniel Neill, Hannes Nickisch, and Alex Smola. A great outcome from a collaboration with @GongjinLan, @matteo_phd, Fuda, @DiederikRo and @gusz_e!. Dec 2018: Paper Accepted at AISTATS 2019 Unbiased Implicit Variational Inference [ arxiv ] We develop unbiased implicit variational inference (UIVI), a method that expands the applicability of variational inference by defining an expressive variational family. Ghahramani, R. Accepted: February 24, 2020. View Tomoki Ohsawa's profile, machine learning models, research papers, and code. Dec 2018: Shikhar, Prateek, Manik's paper titled "Confidence-based Graph Convolutional Networks for Semi-Supervised Learning" was accepted at AISTATS 2019. Our paper on Context Mover’s Distance & Barycenters is accepted at ICLR DeepGenStruct workshop (2019). Proceedings of Machine Learning Research on 16-18 April 2019 Published as Volume 89 by the Proceedings of Machine Learning Research on 11 April 2019. Registration to ICAART allows free access to the ICORES, BIOSTEC and ICPRAM conferences (as a non-speaker). Although one work was rejected, this constitutes a. The proposed LSTM neural networks perform inference. The rst is a strictly positive lower bound of (K), which has been used by Lugosi and Mehrabian (2018) and Boursier and Perchet (2019) for the no-sensing model. One paper was accepted to Journal of Machine Learning Research. AISTATS 2020 Paper: Minimax Rank-1 Estimation. The theme of TENSYMP 2020 is. New preprint: Learning structural VAR models from time series data via black-box optimization. Disclaimer: The rankings below are for the most prestigious category of paper at a given conference (i. 2020-2021 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics Update : 2020-3-6 Jackie Tseng , TCVIL Lab. (2019 Fall) Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm is accepted at the Advances in Neural Information Processing Systems (NeurIPS. In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), AISTATS, 2020; Corruption-Tolerant Gaussian Process Bandit Optimization; I. On this prestigious conference, three papers from NUS-HCI lab got accepted! Here they are: 1. 2018) 4 papers were accepted to NIPS 2018. Urs Köster · Tristan Webb · Xin Wang · Marcel Nassar · Arjun K Bansal · William Constable · Oguz Elibol · Stewart Hall · Luke Hornof · Amir Khosrowshahi · Carey Kloss · Ruby J Pai · Naveen Rao. Submission due date: February 13, 2020. The DSP group will present two papers at the International Conference on Artificial Intelligence and Statistics (AISTATS) conference in June 2020 in Palermo, Sicily, Italy. New Paper Acceptance Notification Date is April 10, 2019. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. Working papers: Samory Kpotufe, Bharath Sriperumbudur. ← We will organize AISTATS 2020 in Palermo!! New paper accepted in CVIU!. Sponsors at the Platinum level can apply to participate in the EXPO. Full papers: 16 October 2017 23 October 2017 midnight AOE Short papers/demos: 30 October 2017 Notification of acceptance for full papers, short papers and demos: 08 December 2017. We are currently evaluating the possibility of postponing the conference to September in the same location. Meetings take place on every Tuesday starting at 12:15, excluding the first Tuesday of each Month when there is no journal club. Iutzeler, from whose experience I learned a lot about optimization. Baraniuk, " The Implicit Regularization of Ordinary Least Squares Ensembles ," AISTATS, 2020. January 2020) I have visited Alex D'Aspremont at INRIA. Malick and F. The papers are: Poisson intensity estimation with reproducing kernels by Seth Flaxman, Yee Whye Teh, Dino Sejdinovic. Michael Mitzenmacher: Publications By Year All conference and journal papers are listed. To appear in ACM Transactions on Database Systems (TODS), 2020 (accepted Dec 2019) Special issue of best papers at PODS 2018 arXiv report 1703. 2018/10/04: I will serve as an area chair for AISTATS 2019. A pre-print version of accepted papers will, therefore, be posted in the IEEE Computer Society Digital Library as soon as production of the proceedings is completed (planned for early June). Phillips and Pingfan Tang. 2018/06/24. Postdoc position available:. Best of SELSE-12 paper, selected for special session at International Conference on Dependable Systems and Networks (DSN)/, Toulouse, France 2016. January 31st, 2020. Terug naar navigatie (MENU) Kruimelpad. Signal and Information Processing (GlobalSIP’16), Symposium onSparse Signal Processing for Communications, Washington, DC, Dec. Our Context Mover’s Distance paper is accepted at AISTATS 2020. Ghahramani, R. Möllenhoff, T. Machine translation for medical terminology. In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2020. For example, 23:59 PDT. This document clarifies this year’s expectations regarding the release of code with the camera ready version of accepted papers that fall under the policy (due on October 27, 2019). Paper accepted to AISTATS 2020 (January 2020) Title: A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent, joint work with Eduard Gorbunov, Peter Richtárik. Kenji Kawaguchi* and Haihao Lu*. New preprint: A general framework for score-based learning of nonparametric DAG models. To avoid splashing, each sample was placed into an Φ 36 × 5 mm aluminum cap, and then the top of the cap was smoothed and pressed at 20 MPa for 1 min by a DY-30 tablet machine (Tianjin Keqi High & New technology corporation, China). [January 20] Three papers accepted at ICASSP 2020. One of the first papers that I wrote got accepted to the SIAM journal on optimization (SIOPT). 2020/02/18 Our two papers have been accepted to The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020). Jelena Diakonikolas I am an Assistant Professor at the Department of Computer Sciences, University of Wisconsin-Madison. Both conferences will be held in Playa Blanca, Lanzarote, Canary Islands. The papers below appear in Advances in Neural Information Processing Systems 31 edited by S. 2019] Paper with An, Shuo, Wang-Cheng and Julian accepted to CIKM 2019. 2018/05/12: 2 papers accepted to ICML'18. Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. Before that, he received Bachelor of Electrical Engineering from Zhejiang University in 2014. Bill Yuchen Lin, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren. This meeting is co-located with the SIAM Conference on Mathematics of Data Science (MDS20), May 5-8, 2020. (AISTATS) 2020 Conference paper accepted to LREC-2020. New preprint: A new approach to personalization via interpretable, sample-specific models. Two papers in AISTATS 2020. Generative adversarial networks (GAN) are widely used in medical image analysis tasks, such as medical image segmentation and synthesis. 2019] Paper with Zhiwei, Stephen, Kannan and Philip accepted to SDM 2020. Elimination of All Bad Local Minima in Deep Learning. Emergent Tool Use from Multi-Agent Autocurricula (ICLR 2020, Spotlight) Bowen Baker*, Ingmar Kanitscheider * , Todor Markov * , Yi Wu* , Glenn Powell, Bob McGrew, Igor Mordatch* ( *team project ) Check out our blog post with the most popular video ever in OpenAI's history :). LG Dublin, Ireland, 2020. Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, and Wei-Ying Ma. See you in Palermo! News: new I am giving an invited course on reinforcement learning at Math of Machine Learning Winter School during February 19-22th, 2020 in Sochi, Russia. He has published several papers at top venues including NeurIPS, AISTATS, ISMB and ACSSC and has more than 225 Google Scholar citations. ∙ 0 ∙ share This article surveys computational methods for posterior inference with intractable likelihoods, that is where the likelihood function is unavailable in closed form, or where evaluation of the likelihood is infeasible. Our paper Empirical Bayes Meta-Learning with Synthetic Gradients is accepted by MetaLearn 2019. WACV 2020 solicits high-quality, original submissions describing research on computer vision applications. Dolecek, and R. Sometimes a paper could be accepted with "weak accept" or "borderline" or even with a "weak reject". “Outer independent Roman. 2014 - Two of our papers will be presented at NIPS workshops (AKBC and Learning Semantics). Website of the ECML PKDD 2020 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Ghent, Belgium, from the 14nd to the 18nd of September 2020. Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents. Our paper "Fair Decisions Despite Imperfect Predictions" (with N. Conference and Workshop Papers Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning (Z. Four papers accepted at NeurISP workshops. Kenji Kawaguchi and Leslie Pack Kaelbling. " Link here. The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale. Computer Science Authors and titles for recent submissions. This section formalizes the idea of a boundary as a Markov blanket []. Introducing M. 2018/05/11. NeuRIPS 2019: Testing Changes in SBMs. Gold Award) and a best paper award. Email address: first name DOT last name at GMAIL UPDATE: Two papers accepted for AISTATS 2020! Research Interests. , Taylor, R. Beygelzimer and F. Learning the causal relationships that define a molecular system allows us to predict how the system will respond to different interventions. Many well-known machine learning methods aim to draw a line between two classes. degree in Computer Science from University of Technology Sydney (2015-2019), advised by Ivor W. ALT 2020 will have both a best student paper award (E. Derezinski and M. Leave-one-out cross-validation for Bayesian model comparison in large data. Deep Global Registration and High-dimensional Convolutional Networks were selected for oral presentation at the conference. Bandit algorithms and online learning. Each volume is separately titled and associated with a particular workshop or conference and will be published online on the PMLR web site. November 13, 2019. The rapidly developing field of deep learning is concerned with questions surrounding how we can best learn meaningful and useful. Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability (arXiv) (AISTATS 2019 accepted papers) A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks (arXiv) (ICML 2018). Please submit here. Maria Antoniak, David Mimno, and Karen Levy. E-mail: roseyu [at] northeastern [dot] edu. Zhouyuan Huo is currently a fifth-year Ph. Probabilistic programming conference papers are often accepted at top research conferences, e. uk I am an associate professor in machine learning at the University College London AI Centre. Sketched MinDist. We first propose a novel structured penalty using the pairwise difference of absolute values between features, which is an improved GraphNet penalty (Grosenick et al. New paper on approximation and convergence properties of Generative Adversarial Networks now on arxiv. Embarassingly Parallel Inference for Gaussian Processes has been published in the Journal of Machine Learning Research. 2020; 2 Papers accepted at NeurIPS'19. Title: Excess registered deaths in England and Wales during the COVID-19 pandemic, March 2020 and April 2020 Authors: Drew M Thomas Comments: 19 pages, 3 tables, 9 figures. Title: "Evaluating privacy preserving techniques in machine learning". In addition to publishing papers, Konstantinos had been excited at the possibility of seeing his work have real-world impact. Here, at depth indexed by 1, the network believes with 10% probability that this bin is a low speed region and with 90% probability that it is a high speed region, and similarly for the other rows. Pan Li†, Niao He, and Olgica Milenkovic, “Quadratic Decomposable Submodular Function Minimization: Theory and Practice,” accepted to Journal of Machine Learning Research,, 2020. In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020); Jenning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira. Conference start. Jihwan Kwak (BS intern) received the prestigious SKKU President’s List award. A Farewell to Arms: Sequential reward maximization on a budget with a giving up option P Sharoff, Nishant Mehta, Ravi Ganti Accepted to AISTATS, 2020. Camera-ready version of the accepted papers; registration form and fee are due. ), Emiliano Ingrassia (Epigenesys s. Special Session and Paper submission dates have been extended. 07/01/20 Our paper, "Distributionally robust Bayesian quadrature optimization" has been accepted to AISTATS 2020 (Palermo, Italy). 10: Three papers accepted by AAAI 2019. 01/2020, Our paper is accepted to Transactions on Signal Processing. Since its inception in 1985, AISTATS has been an interdisciplinary gathering of researchers at the intersection of artificial intelligence, machine learning, statistics, and. Tolga Bolukbasi joins Google Brain. New paper accepted in CVIU! Two Papers accepted at ICIAP 2019; We will organize AISTATS 2020 in Palermo!! Research. 1 paper accepted to AIStats 2020, about density ratio estimation for text generation. In fact most of the cases, you write a normal paper, which is bordeline so it only gets accepted as a poster paper. Cesa-Bianchi and R. ICML 2017 – Two papers accepted. Derezinski and M. About the Conference. [2020/01] 1 Paper was accepted to AISTATS 2020. AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Max Welling. Saumya has 3 jobs listed on their profile. 11 April 2020. Anton Borg, Martin Boldt and Johan Svensson, “Using conformal prediction for multi-label document classification in e-mail support systems”, to appear in procceedings of the 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Best Paper Candidate, 2019. ALT 2018 – Call for Papers. It will be held March 1-5, 2020 at The Westin Snowmass Resort in Snowmass village, Colorado. As shown in table 1, 12 CRM soil samples (National Institute of Metrology, China) with a K concentration of 0. What's New! Our paper on "Push-Pull Gradient Methods for Distributed Optimization in Networks" has been accepted by IEEE TAC as a regular paper for publication, 2/2020 Our paper on "Optimal Primal-Dual Algorithms for Distributed Optimization over Networks" has been accepted by AISTATS for publication, 1/2020. A paper accepted for IJCAI 2020 04/25, 2020; A paper accepted to CVPR 2020 03/05, 2020; A paper accepted to ECAI 2020 01/15, 2020; Two papers accepted to AISTATS 2020 01/07, 2020; A paper accepted for ESWA Journal 11/29, 2019; One paper accepted to AAAI 2020 11/11, 2019; A paper on chemical network prediction accepted for BMC Bioinformatics 09. Our paper Empirical Bayes Meta-Learning with Synthetic Gradients is accepted by MetaLearn 2019. They are proceedings from the conference, "Neural Information Processing Systems 2018. [01/2020] Paper on unpaired multi-modal learning with knowledge distillation is accepted to TMI. pdf, code with P. Shulgin, Y. This work is a result of my collaboration with J. The conference proceedings have an ISSN (2049-9870) and will be assigned an ISBN on publication. Two papers from Xiaotong Yuan and Guangcan Liu are accepted to International Conference on Artificial Intelligence and Statistics (AISTATS), 2012. 09/2019: Paper accepted to ICBK'19. Recent Papers (2019/02/28) Several papers are accepted or just written on representation learning for graph embedding and similarity learning. 01] Paper accepted at International Conference on Artificial Intelligence and Statistics (AISTATS), Palermo, Italy. February 2020: New paper out: "Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning" February 2020: Delivered an invited talk on "Communication-Efficient Federated Learning with Periodic Averaging and Quantization" at ITA 2020. 6/1/2020 Our work on Value Preserving State Action Abstractions has been accepted for presentation at AISTATS, 2020. For your papers to be accepted, they must follow the cultural expectations of your audience. A paper accepted for IJCAI 2020 04/25, 2020; A paper accepted to CVPR 2020 03/05, 2020; A paper accepted to ECAI 2020 01/15, 2020; Two papers accepted to AISTATS 2020 01/07, 2020; A paper accepted for ESWA Journal 11/29, 2019; One paper accepted to AAAI 2020 11/11, 2019; A paper on chemical network prediction accepted for BMC Bioinformatics 09. JMLR Teaching. 03/24/2017. Lindstrom, P. 03705, 2020. IEEE VIS 2020 is still scheduled to be held as planned in the Fall of 2020. Science Park of the Universitat Politècnica de València (Spain) Send contribution. He is a recipient of a NSF CAREER Award, and winner of multiple best paper awards including an ICML classic paper prize in 2013. Sun Apr 26th through Thu the 30th.
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