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Oral
Tue Jun 11 11:00 AM -- 11:20 AM (PDT) @ Room 101
A Contrastive Divergence for Combining Variational Inference and MCMC
Francisco Ruiz · Michalis Titsias
[ Slides [ Video
Oral
Tue Jun 11 11:20 AM -- 11:25 AM (PDT) @ Room 101
Calibrated Approximate Bayesian Inference
Hanwen Xing · Geoff Nicholls · Jeong Lee
[ Slides [ Video
Oral
Tue Jun 11 11:25 AM -- 11:30 AM (PDT) @ Room 101
Moment-Based Variational Inference for Markov Jump Processes
Christian Wildner · Heinz Koeppl
[ Slides [ Video
Oral
Tue Jun 11 11:30 AM -- 11:35 AM (PDT) @ Room 101
Understanding MCMC Dynamics as Flows on the Wasserstein Space
Chang Liu · Jingwei Zhuo · Jun Zhu
[ Slides [ Video
Oral
Tue Jun 11 11:35 AM -- 11:40 AM (PDT) @ Room 101
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
Brian Trippe · Jonathan Huggins · Raj Agrawal · Tamara Broderick
[ Slides [ Video
Oral
Tue Jun 11 11:40 AM -- 12:00 PM (PDT) @ Room 101
Amortized Monte Carlo Integration
Adam Golinski · Frank Wood · Tom Rainforth
[ Slides [ Video
Oral
Tue Jun 11 12:00 PM -- 12:05 PM (PDT) @ Room 101
Stein Point Markov Chain Monte Carlo
Wilson Ye Chen · Alessandro Barp · Francois-Xavier Briol · Jackson Gorham · Mark Girolami · Lester Mackey · Chris Oates
[ Slides [ Video
Oral
Tue Jun 11 12:05 PM -- 12:10 PM (PDT) @ Room 101
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations
Wu Lin · Mohammad Emtiyaz Khan · Mark Schmidt
[ Slides [ Video
Oral
Tue Jun 11 12:10 PM -- 12:15 PM (PDT) @ Room 101
Particle Flow Bayes' Rule
Xinshi Chen · Hanjun Dai · Le Song
[ Slides [ Video
Oral
Tue Jun 11 12:15 PM -- 12:20 PM (PDT) @ Room 101
Correlated Variational Auto-Encoders
Da Tang · Dawen Liang · Tony Jebara · Nicholas Ruozzi
[ Slides [ Video