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Poster
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Tue 15:15
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Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang · Yan Sun · Faming Liang
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Poster
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Tue 8:45
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Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space
Saghar Adler · Vijay Subramanian
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Poster
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Thu 8:45
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AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
Paribesh Regmi · Rui Li
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Poster
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Tue 8:45
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Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory
Sokhna Diarra Mbacke · Florence Clerc · Pascal Germain
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Poster
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Wed 15:00
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Bayesian Risk-Averse Q-Learning with Streaming Observations
Yuhao Wang · Enlu Zhou
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Poster
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Wed 8:45
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Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
Shikai Fang · Xin Yu · Shibo Li · Zheng Wang · Mike Kirby · Shandian Zhe
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Poster
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Tue 8:45
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Dynamic Pricing and Learning with Bayesian Persuasion
Shipra Agrawal · Yiding Feng · Wei Tang
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Poster
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Tue 15:15
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Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
Ahmadreza Moradipari · Mohammad Pedramfar · Modjtaba Shokrian Zini · Vaneet Aggarwal
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Poster
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Thu 15:00
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PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Jiancong Xiao · Ruoyu Sun · Zhi-Quan Luo
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Poster
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Thu 15:00
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The Bayesian Stability Zoo
Shay Moran · Hilla Schefler · Jonathan Shafer
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Poster
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Tue 15:15
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Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
Allan Raventós · Mansheej Paul · Feng Chen · Surya Ganguli
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Workshop
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Actively learning a Bayesian matrix fusion model with deep side information
Yangyang Yu · Jordan Suchow
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