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Oral
Fri 15:50 Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
Poster
Fri 11:00 Practical Bayesian Algorithm Execution via Posterior Sampling
Chu Xin Cheng · Raul Astudillo · Thomas A Desautels · Yisong Yue
Poster
Fri 16:30 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
Eli Sennesh · Hao Wu · Tommaso Salvatori
Workshop
Discovering Multi-Layer Films for Electromagnetic Interference Shielding and Passive Cooling with Multi-Objective Active Learning
Mingxuan Li · Jungtaek Kim · Paul Leu
Workshop
An Active Learning Performance Model for Parallel Bayesian Calibration of Expensive Simulations
Özge Sürer · Stefan M. Wild
Workshop
Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks
Lucia Pezzetti · Stefano Favaro · Stefano Peluchetti
Workshop
Practical Bayesian Algorithm Execution via Posterior Sampling
Chu Xin Cheng · Raul Astudillo · Thomas A Desautels · Yisong Yue
Workshop
Amortizing intractable inference in diffusion models for Bayesian inverse problems
Siddarth Venkatraman · Moksh Jain · Luca Scimeca · Minsu Kim · Marcin Sendera · Mohsin Hasan · Luke Rowe · Sarthak Mittal · Pablo Lemos · Emmanuel Bengio · Alexandre Adam · Jarrid Rector-Brooks · Yashar Hezaveh · Laurence Perreault-Levasseur · Yoshua Bengio · Glen Berseth · Nikolay Malkin
Workshop
Ensemble Mashups: A Simple Recipe For Better Bayesian Optimization
Anand Ravishankar · Fernando Llorente · Yuanqing Song · Petar Djuric
Poster
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong