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Poster
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Thu 9:00
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Adversarial Robustness Guarantees for Random Deep Neural Networks
Giacomo De Palma · Bobak T Kiani · Seth Lloyd
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Poster
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Wed 9:00
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Inferring serial correlation with dynamic backgrounds
Song Wei · Yao Xie · Dobromir Rahnev
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Poster
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Wed 9:00
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The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
Ya-Ping Hsieh · Panayotis Mertikopoulos · Volkan Cevher
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Poster
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Wed 21:00
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Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
Zeng Li · Chuanlong Xie · Qinwen Wang
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Spotlight
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Wed 5:20
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Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
Gen Li · Yuantao Gu
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Poster
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Wed 9:00
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On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
Tianhao Wu · Yunchang Yang · Simon Du · Liwei Wang
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Poster
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Wed 21:00
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Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Botao Hao · Yaqi Duan · Tor Lattimore · Csaba Szepesvari · Mengdi Wang
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Poster
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Wed 9:00
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Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
Botao Hao · Xiang Ji · Yaqi Duan · Hao Lu · Csaba Szepesvari · Mengdi Wang
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Poster
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Wed 21:00
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Near-Optimal Representation Learning for Linear Bandits and Linear RL
Jiachen Hu · Xiaoyu Chen · Chi Jin · Lihong Li · Liwei Wang
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Poster
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Wed 21:00
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Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
Andrea Zanette
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