27 Results

Poster
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
Poster
Tue 7:00 Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
Nic Dalmasso, Rafael Izbicki, Ann Lee
Poster
Tue 7:00 Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
Will Grathwohl, Kuan-Chieh Wang, Jörn Jacobsen, David Duvenaud, Richard Zemel
Poster
Tue 7:00 Recurrent Hierarchical Topic-Guided RNN for Language Generation
Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou
Poster
Tue 9:00 On Semi-parametric Inference for BART
Veronika Rockova
Poster
Tue 11:00 Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
Steven Kleinegesse, Michael Gutmann
Poster
Tue 14:00 Thompson Sampling via Local Uncertainty
Zhendong Wang, Mingyuan Zhou
Poster
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
Poster
Wed 5:00 Online Bayesian Moment Matching based SAT Solver Heuristics
Haonan Duan, Saeed Nejati, George Trimponias, Pascal Poupart, Vijay Ganesh
Poster
Wed 5:00 Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Dan Fu, Mayee Chen, Fred Sala, Sarah Hooper, Kayvon Fatahalian, Christopher Re
Poster
Wed 5:00 Sequential Cooperative Bayesian Inference
Junqi Wang, Pei Wang, Patrick Shafto
Poster
Wed 8:00 Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
Poster
Wed 8:00 Optimal transport mapping via input convex neural networks
Ashok Makkuva, Amir Taghvaei, Sewoong Oh, Jason Lee
Poster
Wed 8:00 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai, Ziyu Wang, David Wipf
Poster
Wed 12:00 Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
Poster
Wed 12:00 Automatic Reparameterisation of Probabilistic Programs
Maria Gorinova, Dave Moore, Matt Hoffman
Poster
Wed 12:00 Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth
Poster
Wed 13:00 Continuous Time Bayesian Networks with Clocks
Nicolai Engelmann, Dominik Linzner, Heinz Koeppl
Poster
Thu 6:00 How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay, Jörn Jacobsen, Levon Nurbekyan, Adam Oberman
Poster
Thu 6:00 Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David Sontag
Poster
Thu 7:00 Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
Ying Jin, Zhaoran Wang, Junwei Lu
Poster
Thu 7:00 Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhroshekhar Ghosh, Krishna Balasubramanian, Xiaochuan Yang
Poster
Thu 9:00 Accelerated Message Passing for Entropy-Regularized MAP Inference
Jonathan Lee, Aldo Pacchiano, Peter Bartlett, Michael Jordan
Poster
Thu 9:00 Energy-Based Processes for Exchangeable Data
Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans
Poster
Thu 13:00 Stochastic Differential Equations with Variational Wishart Diffusions
Martin Jørgensen, Marc Deisenroth, Hugh Salimbeni
Poster
Thu 14:00 The continuous categorical: a novel simplex-valued exponential family
Elliott Gordon-Rodriguez, Gabriel Loaiza-Ganem, John Cunningham
Poster
Thu 17:00 Multi-objective Bayesian Optimization using Pareto-frontier Entropy
Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama