|
Poster
|
Tue 14:00
|
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Dingyang Chen · Qi Zhang
|
|
|
Workshop
|
Fri 14:30
|
Collapsed Inference for Bayesian Deep Learning
|
|
|
Poster
|
Thu 16:30
|
Adversarial robustness of amortized Bayesian inference
Manuel Gloeckler · Michael Deistler · Jakob Macke
|
|
|
Poster
|
Tue 14:00
|
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Kyurae Kim · Kaiwen Wu · Jisu Oh · Jacob Gardner
|
|
|
Poster
|
Thu 13:30
|
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Yves Rychener · Daniel Kuhn · Tobias Sutter
|
|
|
Poster
|
Wed 17:00
|
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
Samuel Daulton · Maximilian Balandat · Eytan Bakshy
|
|
|
Poster
|
Wed 14:00
|
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Juliusz Ziomek · Haitham Bou Ammar
|
|
|
Poster
|
Thu 13:30
|
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
Shion Takeno · Yu Inatsu · Masayuki Karasuyama
|
|
|
Poster
|
Tue 17:00
|
Disentangled Multi-Fidelity Deep Bayesian Active Learning
Dongxia Wu · Ruijia Niu · Matteo Chinazzi · Yian Ma · Rose Yu
|
|
|
Poster
|
Wed 17:00
|
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
Zhibin Duan · Xinyang Liu · Yudi Su · Yishi Xu · Bo Chen · Mingyuan Zhou
|
|
|
Poster
|
Tue 14:00
|
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong · Dongyoon Yang · Jongjin Lee · Ilsang Ohn · GYUSEUNG BAEK · Yongdai Kim
|
|
|
Poster
|
Thu 13:30
|
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
Desi Ivanova · Joel Jennings · Tom Rainforth · Cheng Zhang · Adam Foster
|
|
