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Poster
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Fri 16:30
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Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
Yanyan Huang · Weiqin Zhao · Yihang Chen · Yu Fu · Lequan Yu
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Workshop
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Fast, Precise Thompson Sampling for Bayesian Optimization
David Sweet
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Poster
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TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
Jun Dan · Weiming Liu · Xie · Hua Yu · Shunjie Dong · Yanchao Tan
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Workshop
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Active Learning for Optimal Minimization of Experimental Characterization Uncertainty
Marcus Schwarting · Nathan Seifert · Logan Ward · Ben Blaiszik · Ian Foster · Yuxin Chen · Kirill Prozument
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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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Workshop
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Adaptive Partitioning Schemes for Black-Box Optimization
Raja Sunkara · Ardhendu S Tripathy
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Workshop
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Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
Juno Kim · Dimitri Meunier · Arthur Gretton · Taiji Suzuki · Zhu Li
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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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Poster
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Wed 11:00
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Adaptive Proximal Gradient Method for Convex Optimization
Yura Malitsky · Konstantin Mishchenko
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Workshop
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Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li · Yuanzhi Li
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Workshop
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Memory Efficient Adaptive Stochastic Optimization via Subset-Norm
Thien H Nguyen · Huy Nguyen
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Workshop
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Revisiting the Initial Steps in Adaptive Gradient Descent Optimization
ABULIKEMU ABUDUWEILI · Changliu Liu
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