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Poster
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Wed 10:45
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Covariate-Powered Empirical Bayes Estimation
Nikolaos Ignatiadis · Stefan Wager
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Poster
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Wed 17:00
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Generalization Bounds for Neural Networks via Approximate Description Length
Amit Daniely · Elad Granot
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Poster
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Tue 17:30
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Connections Between Mirror Descent, Thompson Sampling and the Information Ratio
Julian Zimmert · Tor Lattimore
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Poster
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Wed 10:45
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Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
Muhammad Osama · Dave Zachariah · Peter Stoica
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Poster
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Thu 10:45
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Learning Sparse Distributions using Iterative Hard Thresholding
Jacky Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo
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Poster
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Tue 17:30
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Variational Bayesian Decision-making for Continuous Utilities
Tomasz Kuśmierczyk · Joseph Sakaya · Arto Klami
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Poster
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Tue 10:45
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Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Max Simchowitz · Kevin Jamieson
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Poster
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Wed 17:00
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The Broad Optimality of Profile Maximum Likelihood
Yi Hao · Alon Orlitsky
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Poster
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Wed 17:00
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Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
Jun Yang · Shengyang Sun · Daniel Roy
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Poster
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Tue 17:30
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On the Power and Limitations of Random Features for Understanding Neural Networks
Gilad Yehudai · Ohad Shamir
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Poster
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Thu 17:00
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Elliptical Perturbations for Differential Privacy
Matthew Reimherr · Jordan Awan
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Workshop
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Sat 16:45
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Emma Brünskill, "Some Theory RL Challenges Inspired by Education"
Emma Brunskill
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