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Patrick Jaillet

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Distribution-Dependent Rates for Multi-Distribution Learning

Dec 20, 2023
Rafael Hanashiro, Patrick Jaillet

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Doubly Robust Structure Identification from Temporal Data

Nov 10, 2023
Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer

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Batch Bayesian Optimization for Replicable Experimental Design

Nov 02, 2023
Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Shenghong Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet

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Quantum Bayesian Optimization

Oct 09, 2023
Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet

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Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers

Oct 02, 2023
Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

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DRCFS: Doubly Robust Causal Feature Selection

Jul 05, 2023
Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer

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Online Resource Allocation with Convex-set Machine-Learned Advice

Jun 21, 2023
Negin Golrezaei, Patrick Jaillet, Zijie Zhou

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Memory-Constrained Algorithms for Convex Optimization via Recursive Cutting-Planes

Jun 16, 2023
Moïse Blanchard, Junhui Zhang, Patrick Jaillet

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Non-stationary Contextual Bandits and Universal Learning

Feb 14, 2023
Moise Blanchard, Steve Hanneke, Patrick Jaillet

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Effective Dimension in Bandit Problems under Censorship

Feb 14, 2023
Gauthier Guinet, Saurabh Amin, Patrick Jaillet

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