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Poster
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Wed 16:30
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Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
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Poster
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Thu 11:00
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Generalization Bounds via Conditional f-Information
Ziqiao Wang · Yongyi Mao
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Poster
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Fri 16:30
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PAC-Bayes-Chernoff bounds for unbounded losses
Ioar Casado Telletxea · Luis Antonio Ortega Andrés · Aritz Pérez · Andres Masegosa
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Poster
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Thu 16:30
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A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
Ben Chugg · Hongjian Wang · Aaditya Ramdas
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Poster
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Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
Zhan Yu · Qiuhao Chen · Yuling Jiao · Yinan Li · Xiliang Lu · Xin Wang · Jerry Yang
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Workshop
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Misspecified Q -Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
Ally Du · Lin Yang · Ruosong Wang
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Poster
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Thu 11:00
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Tight Bounds for Learning RUMs from Small Slates
Flavio Chierichetti · Mirko Giacchini · Ravi Kumar · Alessandro Panconesi · Andrew Tomkins
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Poster
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Thu 11:00
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Entrywise error bounds for low-rank approximations of kernel matrices
Alexander Modell
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Poster
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Wed 16:30
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Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
Shinsaku Sakaue · Taihei Oki
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Workshop
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Information-Theoretic Generalization Bounds for Batch Reinforcement Learning
Xingtu Liu
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Workshop
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Sample compression unleashed : New generalization bounds for real valued losses
Mathieu Bazinet · Valentina Zantedeschi · Pascal Germain
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Poster
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Fri 11:00
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Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness
Xiaoge Deng · Tao Sun · Shengwei Li · Dongsheng Li · Xicheng Lu
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