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Poster
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Tue 10:00
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Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain · Alon Orlitsky
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Poster
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Tue 13:00
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Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska · Valérie Chavez-Demoulin · Thibault Vatter
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Poster
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Tue 8:00
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Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Jinzhi Bu · David Simchi-Levi · Yunzong Xu
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Poster
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Thu 7:00
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Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
Karl Stratos · Sam Wiseman
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Poster
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Wed 5:00
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Adversarial Risk via Optimal Transport and Optimal Couplings
Muni Sreenivas Pydi · Varun Jog
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Poster
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Thu 6:00
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Calibration, Entropy Rates, and Memory in Language Models
Mark Braverman · Xinyi Chen · Sham Kakade · Karthik Narasimhan · Cyril Zhang · Yi Zhang
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Poster
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Tue 7:00
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Data Amplification: Instance-Optimal Property Estimation
Yi Hao · Alon Orlitsky
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Poster
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Wed 5:00
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Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study
Siqiang Luo
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Poster
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Tue 9:00
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Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu · Xiao Zhang · David Evans
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Poster
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Tue 18:00
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Logistic Regression for Massive Data with Rare Events
HaiYing Wang
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Poster
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Tue 8:00
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Closing the convergence gap of SGD without replacement
Shashank Rajput · Anant Gupta · Dimitris Papailiopoulos
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Poster
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Wed 5:00
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Message Passing Least Squares Framework and its Application to Rotation Synchronization
Yunpeng Shi · Gilad Lerman
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