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Poster
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Fri 11:00
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Sample-efficient Bayesian Optimisation Using Known Invariances
Theodore Brown · Alexandru Cioba · Ilija Bogunovic
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Oral
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Fri 15:50
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Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
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Poster
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Thu 11:00
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Unrolled denoising networks provably learn to perform optimal Bayesian inference
Aayush Karan · Kulin Shah · Sitan Chen · Yonina Eldar
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Workshop
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Sun 9:25
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Alison Gopnik - Empowerment as causal learning, causal learning as empowerment: A bridge between Bayesian causal hypothesis testing and reinforcement learning
Alison Gopnik
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Workshop
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Convergence Rates of Bayesian Network Policy Gradient for Cooperative Multi-Agent Reinforcement Learning
Dingyang Chen · Zhenyu Zhang · Xiaolong Kuang · Xinyang Shen · Ozalp Ozer · Qi Zhang
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Workshop
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An Active Learning Performance Model for Parallel Bayesian Calibration of Expensive Simulations
Özge Sürer · Stefan M. Wild
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Workshop
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Big Batch Bayesian Active Learning by Considering Predictive Probabilities
Sebastian Ober · Sam Power · Tom Diethe · Henry Moss
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Poster
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Wed 11:00
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Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
David Smerkous · Qinxun Bai · Fuxin Li
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Poster
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Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
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Workshop
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Variational Search Distributions
Daniel Steinberg · Rafael Oliveira · Cheng Soon Ong · Edwin Bonilla
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Poster
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Wed 11:00
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Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
Deep Pandey · Spandan Pyakurel · Qi Yu
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Workshop
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BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories
Rui-Yang Zhang · Henry Moss · Lachlan Astfalck · Edward Cripps · David Leslie
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