|
Spotlight
|
Thu 13:50
|
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Volodymyr Kuleshov · Shachi Deshpande
|
|
|
Poster
|
Thu 15:00
|
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Volodymyr Kuleshov · Shachi Deshpande
|
|
|
Poster
|
Wed 15:30
|
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang · Michael Mahoney · Liam Hodgkinson
|
|
|
Spotlight
|
Wed 8:00
|
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang · Michael Mahoney · Liam Hodgkinson
|
|
|
Spotlight
|
Tue 14:35
|
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
|
|
|
Poster
|
Wed 15:30
|
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
|
|
|
Spotlight
|
Wed 8:35
|
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
|
|
|
Poster
|
Tue 15:30
|
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
|
|
|
Poster
|
Thu 15:00
|
PAC-Bayesian Bounds on Rate-Efficient Classifiers
Alhabib Abbas · Yiannis Andreopoulos
|
|
|
Spotlight
|
Thu 11:20
|
PAC-Bayesian Bounds on Rate-Efficient Classifiers
Alhabib Abbas · Yiannis Andreopoulos
|
|
|
Poster
|
Wed 15:30
|
Bayesian Continuous-Time Tucker Decomposition
Shikai Fang · Akil Narayan · Robert Kirby · Shandian Zhe
|
|
|
Poster
|
Wed 15:30
|
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast · Zheng Wang · Shandian Zhe
|
|
