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202 Results
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Poster
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Wed 15:30 |
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows Feynman Liang · Michael Mahoney · Liam Hodgkinson |
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Poster
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Thu 15:00 |
Input Dependent Sparse Gaussian Processes Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato |
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Spotlight
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Wed 10:35 |
Approximate Bayesian Computation with Domain Expert in the Loop Ayush Bharti · Louis Filstroff · Samuel Kaski |
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Spotlight
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Tue 14:10 |
Principal Component Flows Edmond Cunningham · Adam Cobb · Susmit Jha |
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Oral Session
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Wed 7:30 |
PM: Variational Inference/Bayesian Models and Methods |
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Poster
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Wed 15:30 |
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim |
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Poster
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Thu 15:00 |
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov · Shachi Deshpande |
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Spotlight
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Wed 11:20 |
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense Bao Gia Doan · Ehsan Abbasnejad · Javen Qinfeng Shi · Damith Ranashinghe |
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Poster
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Tue 15:30 |
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model Heejong Bong · Alessandro Rinaldo |
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Spotlight
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Wed 10:50 |
Streaming Inference for Infinite Feature Models Rylan Schaeffer · Yilun Du · Gabrielle K Liu · Ila R. Fiete |
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Spotlight
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Wed 8:05 |
Variational Sparse Coding with Learned Thresholding Kion Fallah · Christopher Rozell |
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Poster
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Wed 15:30 |
Streaming Inference for Infinite Feature Models Rylan Schaeffer · Yilun Du · Gabrielle K Liu · Ila R. Fiete |