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Poster
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Wed 7:45
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Leveraged volume sampling for linear regression
Michal Derezinski · Manfred K. Warmuth · Daniel Hsu
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Poster
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Tue 14:00
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Bayesian Nonparametric Spectral Estimation
Felipe Tobar
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Poster
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Wed 14:00
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Confounding-Robust Policy Improvement
Nathan Kallus · Angela Zhou
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Workshop
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Sat 11:45
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Modelling User's Theory of AI's Mind in Interactive Intelligent Systems
Tomi Peltola
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Poster
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Wed 14:00
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On Learning Markov Chains
Yi Hao · Alon Orlitsky · Venkatadheeraj Pichapati
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Poster
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Wed 7:45
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Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
Yunwen Lei · Ke Tang
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Workshop
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Sat 6:40
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Invited talk 2: Machine Learning and Cryptography: Challenges and Opportunities
Shafi Goldwasser
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Poster
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Wed 14:00
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Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
Michael Gimelfarb · Scott Sanner · Chi-Guhn Lee
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Poster
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Wed 14:00
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Benefits of over-parameterization with EM
Ji Xu · Daniel Hsu · Arian Maleki
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Poster
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Thu 14:00
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Nonparametric Density Estimation under Adversarial Losses
Shashank Singh · Ananya Uppal · Boyue Li · Chun-Liang Li · Manzil Zaheer · Barnabas Poczos
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Poster
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Thu 14:00
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Efficient online algorithms for fast-rate regret bounds under sparsity
Pierre Gaillard · Olivier Wintenberger
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Workshop
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Fri 5:50
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Improving Generative Adversarial Networks using Game Theory and Statistics
Constantinos Daskalakis
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