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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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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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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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Thu 7:30 |
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon Jeremiah Liu |
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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 |
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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Thu 7:30 |
Bayesian Inference with Certifiable Adversarial Robustness Matthew Wicker · Luca Laurenti · Andrea Patane · Zhuotong Chen · Zheng Zhang · Marta Kwiatkowska |
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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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Wed 6:00 |
Predictive Complexity Priors Eric Nalisnick · Jonathan Gordon · Jose Miguel Hernandez-Lobato |
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Poster
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Thu 7:30 |
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models Jiaxin Zhang · Sirui Bi · Guannan Zhang |
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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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Wed 6:00 |
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations Simone Rossi · Markus Heinonen · Edwin Bonilla · Zheyang Shen · Maurizio Filippone |