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Workshop
Fri 0:40 Panel on Advances in Software for Approximate Bayesian Inference
Poster
Wed 9:00 Kernel Bayesian Inference with Posterior Regularization
Yang Song · Jun Zhu · Yong Ren
Poster
Wed 9:00 Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
Wei-Shou Hsu · Pascal Poupart
Poster
Mon 9:00 PAC-Bayesian Theory Meets Bayesian Inference
Pascal Germain · Francis Bach · Alexandre Lacoste · Simon Lacoste-Julien
Oral
Wed 2:20 Poisson-Gamma dynamical systems
Aaron Schein · Hanna Wallach · Mingyuan Zhou
Poster
Wed 9:00 Differential Privacy without Sensitivity
Kentaro Minami · Hiromi Arai · Issei Sato · Hiroshi Nakagawa
Poster
Wed 9:00 Poisson-Gamma dynamical systems
Aaron Schein · Hanna Wallach · Mingyuan Zhou
Poster
Wed 9:00 Learning under uncertainty: a comparison between R-W and Bayesian approach
He Huang · Martin Paulus
Poster
Mon 9:00 A Bayesian method for reducing bias in neural representational similarity analysis
Mingbo Cai · Nicolas W Schuck · Jonathan Pillow · Yael Niv
Poster
Wed 9:00 Bayesian Optimization for Probabilistic Programs
Thomas Rainforth · Tuan Anh Le · Jan-Willem van de Meent · Michael A Osborne · Frank Wood
Poster
Wed 9:00 Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Roger Grosse · Siddharth Ancha · Daniel Roy
Poster
Wed 9:00 A Pseudo-Bayesian Algorithm for Robust PCA
Tae-Hyun Oh · Yasuyuki Matsushita · In So Kweon · David Wipf