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126 Results
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Poster
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Wed 2:30 |
VITS : Variational Inference Thompson Sampling for contextual bandits Pierre Clavier · Tom Huix · Alain Oliviero Durmus |
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Poster
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Wed 4:30 |
A connection between Tempering and Entropic Mirror Descent Nicolas Chopin · Francesca R Crucinio · Anna Korba |
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Poster
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Tue 4:30 |
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization Mudit Gaur · Amrit Singh Bedi · Di Wang · Vaneet Aggarwal |
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Poster
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Thu 4:30 |
Diffusive Gibbs Sampling Wenlin Chen · Mingtian Zhang · Brooks Paige · Jose Miguel Hernandez-Lobato · David Barber |
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Poster
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Thu 2:30 |
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning Xu-Hui Liu · Tian-Shuo Liu · Shengyi Jiang · Ruifeng Chen · Zhilong Zhang · Xinwei Chen · Yang Yu |
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Poster
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Tue 2:30 |
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent Yingru Li · Jiawei Xu · Lei Han · Zhi-Quan Luo |
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Poster
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Thu 4:30 |
Sample as you Infer: Predictive Coding with Langevin Dynamics Umais Zahid · Qinghai Guo · Zafeirios Fountas |
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Poster
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Wed 4:30 |
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts? Huy Nguyen · Pedram Akbarian · Nhat Ho |
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Poster
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Tue 4:30 |
Debiased Distribution Compression Lingxiao Li · Raaz Dwivedi · Lester Mackey |
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Poster
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Wed 2:30 |
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples Dake Bu · Wei Huang · Taiji Suzuki · Ji Cheng · Qingfu Zhang · Zhiqiang Xu · Hau-San Wong |
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Poster
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Wed 4:30 |
Improving Gradient-Guided Nested Sampling for Posterior Inference Pablo Lemos · Nikolay Malkin · Will Handley · Yoshua Bengio · Yashar Hezaveh · Laurence Perreault-Levasseur |
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Poster
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Wed 2:30 |
Faster Sampling via Stochastic Gradient Proximal Sampler Xunpeng Huang · Difan Zou · Hanze Dong · Yian Ma · Tong Zhang |