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Poster
Tue 14:00 Accelerating Metropolis-Hastings with Lightweight Inference Compilation
Feynman Liang · Nimar Arora · Nazanin Tehrani · Yucen Li · Michael Tingley · Erik Meijer
Poster
Tue 14:00 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo
Poster
Tue 14:00 A Hybrid Approximation to the Marginal Likelihood
Eric Chuu · Debdeep Pati · Anirban Bhattacharya
Poster
Tue 18:30 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
Chaoqi Wang · Shengyang Sun · Roger Grosse
Poster
Tue 18:30 PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
Alexander Lew · Monica Agrawal · David Sontag · Vikash Mansinghka
Poster
Wed 6:00 Predictive Complexity Priors
Eric Nalisnick · Jonathan Gordon · Jose Miguel Hernandez-Lobato
Poster
Wed 6:00 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
Simone Rossi · Markus Heinonen · Edwin Bonilla · Zheyang Shen · Maurizio Filippone
Poster
Wed 6:00 Latent Derivative Bayesian Last Layer Networks
Joe Watson · Jihao Andreas Lin · Pascal Klink · Joni Pajarinen · Jan Peters
Poster
Wed 6:00 Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification
Zhuo Sun · Jijie Wu · Xiaoxu Li · Wenming Yang · Jing-Hao Xue
Poster
Wed 6:00 Hyperparameter Transfer Learning with Adaptive Complexity
Samuel Horv├íth · Aaron Klein · Peter Richtarik · Cedric Archambeau
Poster
Wed 12:45 Scalable Constrained Bayesian Optimization
David Eriksson · Matthias Poloczek
Poster
Thu 7:30 Variational inference for nonlinear ordinary differential equations
Sanmitra Ghosh · Paul Birrell · Daniela De Angelis