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Poster
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Wed 15:30
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Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
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Poster
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Thu 15:00
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Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Volodymyr Kuleshov · Shachi Deshpande
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Spotlight
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Tue 14:25
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Algorithms for the Communication of Samples
Lucas Theis · Nour Ahmed
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Spotlight
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Wed 8:35
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Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
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Poster
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Wed 15:30
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Variational Sparse Coding with Learned Thresholding
Kion Fallah · Christopher Rozell
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Spotlight
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Tue 14:35
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Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim · Seungjae Shin · Kyungwoo Song · Wanmo Kang · IL CHUL MOON
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Poster
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Tue 15:30
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Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim · Seungjae Shin · Kyungwoo Song · Wanmo Kang · IL CHUL MOON
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Spotlight
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Wed 13:40
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Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
Ramji Venkataramanan · Kevin Kögler · Marco Mondelli
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Poster
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Tue 15:30
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LSB: Local Self-Balancing MCMC in Discrete Spaces
EMANUELE SANSONE
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Spotlight
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Wed 10:50
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Streaming Inference for Infinite Feature Models
Rylan Schaeffer · Yilun Du · Gabrielle K Liu · Ila R. Fiete
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Poster
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Wed 15:30
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Bayesian Deep Embedding Topic Meta-Learner
Zhibin Duan · Yishi Xu · Jianqiao Sun · Bo Chen · Wenchao Chen · CHAOJIE WANG · Mingyuan Zhou
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Spotlight
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Tue 13:40
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Hessian-Free High-Resolution Nesterov Acceleration For Sampling
Ruilin Li · Hongyuan Zha · Molei Tao
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