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Workshop
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Collapsed Inference for Bayesian Deep Learning
Zhe Zeng · Guy Van den Broeck
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Poster
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Wed 14:00
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PAC-Bayesian Generalization Bounds for Adversarial Generative Models
Sokhna Diarra Mbacke · Florence Clerc · Pascal Germain
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Workshop
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Fri 18:40
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PAC-Bayesian Error Bound, via R\'enyi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis · john leth · Rafal Wisniewski · Zheng-Hua Tan · Mihaly Petreczky
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Workshop
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PAC-Bayesian Error Bound, via R\'enyi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis · john leth · Rafal Wisniewski · Zheng-Hua Tan · Mihaly Petreczky
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Workshop
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Model-based Policy Optimization under Approximate Bayesian Inference
Chaoqi Wang · Yuxin Chen · Kevin Murphy
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Workshop
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Modeling Human Few-Shot Learning using Bayesian Inference over Natural Language
Kevin Ellis
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Workshop
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Bayesian Uncertainty Quantification in High-dimensional Stellar Magnetic Field Models
Jennifer Andersson · Oleg Kochukhov · Zheng Zhao · Jens Sjölund
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Poster
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Thu 16:30
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Model-Free Robust Average-Reward Reinforcement Learning
Yue Wang · Alvaro Velasquez · George Atia · Ashley Prater-Bennette · Shaofeng Zou
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Workshop
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Memory Maps to Understand Models
Dharmesh Tailor · Paul Chang · Siddharth Swaroop · Eric Nalisnick · Arno Solin · Khan Emtiyaz
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Workshop
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Black Box Adversarial Prompting for Foundation Models
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Workshop
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INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations
Louis Serrano · Léon Migus · Yuan Yin · Jocelyn Mazari · Jean-Noël Vittaut · patrick gallinari
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Poster
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Wed 14:00
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Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Wenhao Ding · Tong Che · Ding Zhao · Marco Pavone
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