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Affinity Workshop
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Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations
Charupriya Sharma
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Poster
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Tue 9:00
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Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
Chenyang Wu · Tianci Li · Zongzhang Zhang · Yang Yu
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Poster
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Thu 14:00
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Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
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Poster
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Thu 14:00
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Local Bayesian optimization via maximizing probability of descent
Quan Nguyen · Kaiwen Wu · Jacob Gardner · Roman Garnett
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Poster
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Tue 14:00
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Posterior Collapse of a Linear Latent Variable Model
Zihao Wang · Liu Ziyin
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Poster
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Thu 9:00
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Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
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Poster
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Tue 9:00
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Learning from Stochastically Revealed Preference
John Birge · Xiaocheng Li · Chunlin Sun
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Workshop
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Bridging the Microwave Data Gap; Using Bayesian Deep Learning to “See” the Unseen
Pedro Ortiz · Eleanor Casas · Marko Orescanin · Scott Powell
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Workshop
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Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization
Leo Feng · Padideh Nouri · Aneri Muni · Yoshua Bengio · Pierre-Luc Bacon
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Poster
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Wed 14:00
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Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach
Zohar Rimon · Aviv Tamar · Gilad Adler
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Workshop
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Risk-aware Bayesian Reinforcement Learning for Cautious Exploration
Rohan Mitta · Hosein Hasanbeig · Daniel Kroening · Alessandro Abate
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Poster
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Thu 14:00
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Near-Optimal Multi-Agent Learning for Safe Coverage Control
Manish Prajapat · Matteo Turchetta · Melanie Zeilinger · Andreas Krause
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