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Workshop
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Adaptive Representation of MOFs in Bayesian Optimization
Mahyar Rajabi Kochi · Negareh Mahboubi · Aseem Gill · Mohamad Moosavi
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Poster
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Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
Yanfang Ling · Jiyong Li · Lingbo Li · Shangsong Liang
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Poster
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Wed 11:00
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Bayesian Adaptive Calibration and Optimal Design
Rafael Oliveira · Dino Sejdinovic · David Howard · Edwin Bonilla
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Poster
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Thu 11:00
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BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang · Haizhou Shi · Ligong Han · Dimitris Metaxas · Hao Wang
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Workshop
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BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
Karine Karine · Susan Murphy · Benjamin Marlin
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Poster
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Wed 16:30
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Personalized Federated Learning via Feature Distribution Adaptation
Connor Mclaughlin · Lili Su
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Workshop
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Atomic Layed Deposition Optimization via Targeted Adaptive Design.
Marieme Ngom · Carlo Graziani · Noah Paulson
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Poster
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Thu 11:00
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Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
Chau Pham · Bryan Plummer
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Poster
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Thu 16:30
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CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
Zi Yang · Ziyue Liu · Samridhi Choudhary · Xinfeng Xie · Cao Gao · Siegfried Kunzmann · Zheng Zhang
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Workshop
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Dual Feature Reduction for the Sparse-Group Lasso and its Adaptive Variant
Fabio Feser · Marina Evangelou
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Workshop
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LangDA: Adapting Visual Features with Instruction Tuning for Semantic Segmentation
Chang Liu · Saad Hossain · C Thomas · Kwei-Herng Lai · Raviteja Vemulapalli · Sirisha Rambhatla · Alexander Wong
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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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