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