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Tue 7:00 Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
Niccolo Dalmasso · Rafael Izbicki · Ann Lee
Tue 7:00 All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
Rob Brekelmans · Vaden Masrani · Frank Wood · Greg Ver Steeg · Aram Galstyan
Tue 7:00 Recurrent Hierarchical Topic-Guided RNN for Language Generation
Dandan Guo · Bo Chen · Ruiying Lu · Mingyuan Zhou
Tue 7:00 Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel
Tue 9:00 On Semi-parametric Inference for BART
Veronika Rockova
Tue 11:00 Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
Steven Kleinegesse · Michael Gutmann
Tue 14:00 Thompson Sampling via Local Uncertainty
Zhendong Wang · Mingyuan Zhou
Tue 18:00 Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
Shion Takeno · Hitoshi Fukuoka · Yuhki Tsukada · Toshiyuki Koyama · Motoki Shiga · Ichiro Takeuchi · Masayuki Karasuyama
Wed 5:00 Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Dan Fu · Mayee Chen · Frederic Sala · Sarah Hooper · Kayvon Fatahalian · Christopher Re
Wed 5:00 Online Bayesian Moment Matching based SAT Solver Heuristics
Haonan Duan · Saeed Nejati · George Trimponias · Pascal Poupart · Vijay Ganesh
Wed 5:00 Sequential Cooperative Bayesian Inference
Junqi Wang · Pei Wang · Patrick Shafto
Wed 8:00 Optimal transport mapping via input convex neural networks
Ashok Vardhan Makkuva · Amirhossein Taghvaei · Sewoong Oh · Jason Lee