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71 Results
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Poster
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Wed 15:00 |
A Heavy-Tailed Algebra for Probabilistic Programming Feynman Liang · Liam Hodgkinson · Michael Mahoney |
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Workshop
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A General Method for Testing Bayesian Models using Neural Data Gabor Lengyel · Sabyasachi Shivkumar · Ralf Haefner |
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Poster
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Tue 15:15 |
Bayesian Learning via Q-Exponential Process Shuyi Li · Michael O'Connor · Shiwei Lan |
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Poster
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Wed 8:45 |
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization Shu Yu Tew · Mario Boley · Daniel Schmidt |
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Poster
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Tue 15:15 |
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks Yeshu Li · Brian Ziebart |
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Poster
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Tue 15:15 |
Variational Inference with Gaussian Score Matching Chirag Modi · Robert Gower · Charles Margossian · Yuling Yao · David Blei · Lawrence Saul |
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Poster
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Wed 8:45 |
Variational Gaussian processes for linear inverse problems Thibault RANDRIANARISOA · Botond Szabo |
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Poster
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Tue 15:15 |
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval Frederik Warburg · Marco Miani · Silas Brack · Søren Hauberg |
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Poster
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Tue 8:45 |
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory Sokhna Diarra Mbacke · Florence Clerc · Pascal Germain |
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Poster
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Tue 8:45 |
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning Van Cuong Pham · Cuong C Nguyen · Cuong Nguyen · Trung Le · Dinh Phung · Gustavo Carneiro · Thanh-Toan Do |
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Poster
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Wed 15:00 |
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang · Ayush Bharti · Amauri Souza · Luigi Acerbi · Samuel Kaski |
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Poster
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Wed 15:00 |
A Bayesian Take on Gaussian Process Networks Enrico Giudice · Jack Kuipers · Giusi Moffa |