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Workshop
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Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi · Bach Do · Ruda Zhang
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Workshop
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Fast, Precise Thompson Sampling for Bayesian Optimization
David Sweet
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Workshop
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Sat 16:00
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Invited Talk: Virginia Aglietti - FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
Virginia Aglietti
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Poster
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Fri 16:30
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Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Yunyue Wei · Vincent Zhuang · Saraswati Soedarmadji · Yanan Sui
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Workshop
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Sat 14:00
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Invited Talk: Jacob R. Garnder - Bayesian optimization needs better deep learning
Jacob Gardner
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Poster
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Wed 16:30
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Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
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Workshop
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Multi Objective Regionalized Bayesian Optimization via Entropy Search
Thomas James · Sinnu Thomas
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Workshop
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Active Learning for Affinity Prediction of Antibodies
Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar
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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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Poster
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Wed 16:30
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Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Juliusz Ziomek · Masaki Adachi · Michael A Osborne
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Poster
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Wed 11:00
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Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
Nicola Bariletto · Nhat Ho
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Poster
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Fri 11:00
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Bayesian Optimization of Functions over Node Subsets in Graphs
Huidong Liang · Xingchen Wan · Xiaowen Dong
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