64 Results

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