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Poster
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Tue 7:00 |
Tensor denoising and completion based on ordinal observations Chanwoo Lee, Miaoyan Wang |
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Poster
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Tue 7:00 |
Data Amplification: Instance-Optimal Property Estimation Yi Hao, Alon Orlitsky |
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Poster
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Tue 7:00 |
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions Prashanth L.A., Krishna Jagannathan, Ravi Kolla |
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Poster
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Tue 7:00 |
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks Pranjal Awasthi, Natalie Frank, Mehryar Mohri |
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Poster
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Tue 8:00 |
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures Chiru Bhattacharyya, Ravindran Kannan |
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Poster
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Tue 8:00 |
Estimating the Number and Effect Sizes of Non-null Hypotheses Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson |
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Poster
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Tue 8:00 |
Oracle Efficient Private Non-Convex Optimization Seth Neel, Aaron Roth, Giuseppe Vietri, Steven Wu |
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Poster
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Tue 9:00 |
Learning and Sampling of Atomic Interventions from Observations Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Ashwin Maran, Vinodchandran N. Variyam |
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Poster
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Tue 9:00 |
Tightening Exploration in Upper Confidence Reinforcement Learning Hippolyte Bourel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi |
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Poster
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Tue 9:00 |
Context Aware Local Differential Privacy Jayadev Acharya, Kallista Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun |
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Poster
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Tue 9:00 |
Recovery of Sparse Signals from a Mixture of Linear Samples Soumyabrata Pal, Arya Mazumdar |
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Poster
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Tue 11:00 |
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma |
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Poster
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Tue 11:00 |
Optimization and Analysis of the pAp@k Metric for Recommender Systems Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain |
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Poster
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Tue 11:00 |
Understanding and Mitigating the Tradeoff between Robustness and Accuracy Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang |
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Poster
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Tue 12:00 |
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay REDA ALAMI, Odalric-Ambrym Maillard, Raphaël Féraud |
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Poster
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Tue 13:00 |
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture Francesca Mignacco, Florent Krzakala, Yue Lu, Pierfrancesco Urbani, Lenka Zdeborova |
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Poster
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Tue 13:00 |
Supervised learning: no loss no cry Richard Nock, Aditya Menon |
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Poster
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Tue 13:00 |
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines Allan Grønlund, Lior Kamma, Kasper Green Larsen |
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Poster
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Tue 18:00 |
Logistic Regression for Massive Data with Rare Events HaiYing Wang |
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Poster
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Tue 18:00 |
Efficiently Learning Adversarially Robust Halfspaces with Noise Omar Montasser, Surbhi Goel, Ilias Diakonikolas, Nati Srebro |
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Poster
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Wed 5:00 |
Learning Opinions in Social Networks Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang |
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Poster
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Wed 5:00 |
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies Hengrui Cai, Wenbin Lu, Rui Song |
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Poster
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Wed 5:00 |
Private Query Release Assisted by Public Data Raef Bassily, Albert Cheu, Shay Moran, Sasho Nikolov, Jonathan Ullman, Steven Wu |
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Poster
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Wed 5:00 |
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting Zixin Zhong, Wang Chi Cheung, Vincent Tan |
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Poster
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Wed 5:00 |
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers Pierre C Bellec, Dana Yang |
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Poster
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Wed 5:00 |
Privately Learning Markov Random Fields Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Steven Wu |
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Poster
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Wed 8:00 |
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent Yunwen Lei, Yiming Ying |
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Poster
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Wed 8:00 |
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson, Stefanie Jegelka, Suvrit Sra |
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Poster
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Wed 8:00 |
Efficient Policy Learning from Surrogate-Loss Classification Reductions Andrew Bennett, Nathan Kallus |
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Poster
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Wed 8:00 |
Black-box Certification and Learning under Adversarial Perturbations Hassan Ashtiani, Vinayak Pathak, Ruth Urner |
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Poster
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Wed 8:00 |
Individual Calibration with Randomized Forecasting Shengjia Zhao, Tengyu Ma, Stefano Ermon |
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Poster
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Wed 8:00 |
Sample Amplification: Increasing Dataset Size even when Learning is Impossible Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant |
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Poster
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Wed 8:00 |
Class-Weighted Classification: Trade-offs and Robust Approaches Neil Xu, Chen Dan, Justin Khim, Pradeep Ravikumar |
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Poster
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Wed 10:00 |
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons Wenbo Ren, Jia Liu, Ness Shroff |
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Poster
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Wed 10:00 |
Single Point Transductive Prediction Nilesh Tripuraneni, Lester Mackey |
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Poster
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Wed 11:00 |
Gamification of Pure Exploration for Linear Bandits Rémy Degenne, Pierre Menard, Xuedong Shang, Michal Valko |
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Poster
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Wed 11:00 |
The Implicit and Explicit Regularization Effects of Dropout Colin Wei, Sham Kakade, Tengyu Ma |
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Poster
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Wed 11:00 |
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala |
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Poster
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Wed 13:00 |
On the Sample Complexity of Adversarial Multi-Source PAC Learning Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert |
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Poster
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Wed 16:00 |
Boosted Histogram Transform for Regression Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin |
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Poster
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Thu 6:00 |
Strategic Classification is Causal Modeling in Disguise John Miller, Smitha Milli, Moritz Hardt |
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Poster
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Thu 6:00 |
Learning the Valuations of a $k$-demand Agent Hanrui Zhang, Vincent Conitzer |
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Poster
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Thu 6:00 |
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen, Shuai Li, Kui Jia |
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Poster
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Thu 6:00 |
Interpreting Robust Optimization via Adversarial Influence Functions Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang |
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Poster
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Thu 6:00 |
Convex Calibrated Surrogates for the Multi-Label F-Measure Mingyuan Zhang, Harish Ramaswamy, Shivani Agarwal |
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Poster
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Thu 6:00 |
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification Chen Dan, Yuting Wei, Pradeep Ravikumar |
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Poster
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Thu 6:00 |
On a projective ensemble approach to two sample test for equality of distributions Zhimei Li, Yaowu Zhang |
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Poster
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Thu 6:00 |
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation Yaqi Duan, Zeyu Jia, Mengdi Wang |
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Poster
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Thu 6:00 |
Estimation of Bounds on Potential Outcomes For Decision Making Maggie Makar, Fredrik Johansson, John Guttag, David Sontag |
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Poster
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Thu 6:00 |
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization Sudeep Salgia, Qing Zhao, Sattar Vakili |
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Poster
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Thu 6:00 |
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance Blair Bilodeau, Dylan Foster, Daniel Roy |
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Poster
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Thu 7:00 |
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model Ying Jin, Zhaoran Wang, Junwei Lu |
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Poster
|
Thu 7:00 |
Uniform Convergence of Rank-weighted Learning Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar |
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Poster
|
Thu 7:00 |
Generalization via Derandomization Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel Roy |
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Poster
|
Thu 7:00 |
Goodness-of-Fit Tests for Inhomogeneous Random Graphs Soham Dan, Bhaswar B. Bhattacharya |
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Poster
|
Thu 8:00 |
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon, Wonyoung Kim, Joong-Ho (Johann) Won, Myunghee Cho Paik |
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Poster
|
Thu 8:00 |
The Performance Analysis of Generalized Margin Maximizers on Separable Data Fariborz Salehi, Ehsan Abbasi, Babak Hassibi |
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Poster
|
Thu 9:00 |
A Distributional Framework For Data Valuation Amirata Ghorbani, Michael Kim, James Zou |
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Poster
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Thu 12:00 |
Optimistic Bounds for Multi-output Learning Henry Reeve, Ata Kaban |
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Poster
|
Thu 12:00 |
Topologically Densified Distributions Christoph Hofer, Florian Graf, Marc Niethammer, Roland Kwitt |
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Poster
|
Thu 17:00 |
More Information Supervised Probabilistic Deep Face Embedding Learning Ying Huang, Shangfeng Qiu, Wenwei Zhang, Xianghui Luo, Jinzhuo Wang |
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Poster
|
Thu 18:00 |
Few-shot Domain Adaptation by Causal Mechanism Transfer Takeshi Teshima, Issei Sato, Masashi Sugiyama |
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Workshop
|
Sat 3:00 |
Inductive Biases, Invariances and Generalization in Reinforcement Learning Anirudh Goyal, Rosemary Nan Ke, Jane Wang, Theo Weber, Fabio Viola, Bernhard Schölkopf, Stefan Bauer |