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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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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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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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Workshop
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Identifying Under-Reported Events in Networks with Spatial Latent Variable Models
Gabriel Agostini · Emma Pierson · Nikhil Garg
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Poster
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Wed 17:00
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Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
Zhibin Duan · Xinyang Liu · Yudi Su · Yishi Xu · Bo Chen · Mingyuan Zhou
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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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