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Poster
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Fri 11:00
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SEL-BALD: Deep Bayesian Active Learning with Selective Labels
Ruijiang Gao · Mingzhang Yin · Maytal Saar-Tsechansky
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Workshop
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Discovering Multi-Layer Films for Electromagnetic Interference Shielding and Passive Cooling with Multi-Objective Active Learning
Mingxuan Li · Jungtaek Kim · Paul Leu
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Workshop
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Hi-fi functional priors by learning activations
Marcin Sendera · Amin Sorkhei · Tomasz Kuśmierczyk
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Workshop
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Sat 12:00
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Hessian-Free Laplace in Bayesian Deep Learning
James McInerney · Nathan Kallus
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Workshop
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Bayesian Online Non-Stationary Detection for Robust Reinforcement Learning
Alexander Shmakov · Pankaj Rajak · Yuhao Feng · Wojciech Kowalinski · Fei Wang
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Workshop
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Sat 15:45
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Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
Rachel Longjohn · Giri Gopalan · Emily Casleton
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Workshop
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Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data
Parikshit Pareek · Kaarthik Sundar · Deep Deka · Sidhant Misra
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Workshop
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BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
Karine Karine · Susan Murphy · Benjamin Marlin
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Poster
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Wed 11:00
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Bayesian Adaptive Calibration and Optimal Design
Rafael Oliveira · Dino Sejdinovic · David Howard · Edwin Bonilla
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Poster
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Wed 16:30
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Reparameterization invariance in approximate Bayesian inference
Hrittik Roy · Marco Miani · Carl Henrik Ek · Philipp Hennig · Marvin Pförtner · Lukas Tatzel · Søren Hauberg
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Workshop
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Bayesian Nonparametric Learning using the Maximum Mean Discrepancy Measure for Synthetic Data Generation
Forough Fazeli-Asl · Michael Minyi Zhang · Lizhen Lin
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Workshop
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Improved Depth Estimation of Bayesian Neural Networks
Bart van Erp · Bert de Vries
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