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Workshop
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Bandit-Driven Batch Selection for Robust Learning under Label Noise
Michal Lisicki · Graham Taylor · Mihai Nica
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Workshop
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Bandit-Driven Batch Selection for Robust Learning under Label Noise
Michal Lisicki · Mihai Nica · Graham Taylor
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Poster
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Tue 15:15
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Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release
Yufan Li · Jialiang Mao · Iavor Bojinov
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Poster
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Tue 15:15
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Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits
Ruo-Chun Tzeng · Po-An Wang · Alexandre Proutiere · Chi-Jen Lu
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Workshop
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LLMs-augmented Contextual Bandit
Ali Baheri · Cecilia Alm
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Workshop
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Linear diffusion models meet contextual bandits with large action spaces
Imad Aouali
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Workshop
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Mitigating Tail Catastrophe in Steered Database Query Optimization with Risk-Averse Contextual Bandits
Mónika Farsang · Paul Mineiro · Wangda Zhang
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Workshop
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Linear diffusion models meet contextual bandits with large action spaces
Imad Aouali
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Workshop
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LLMs-augmented Contextual Bandit
Ali Baheri · Cecilia Alm
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Workshop
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Online Learning of Optimal Prescriptions under Bandit Feedback with Unknown Contexts
Hongju Park · Mohamad Kazem Shirani Faradonbeh
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Workshop
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On Mitigating Unconscious Bias through Bandits with Evolving Biased Feedback
Matthew Faw · Constantine Caramanis · Sanjay Shakkottai · Jessica Hoffmann
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Workshop
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In-Context Multi-Armed Bandits via Supervised Pretraining
Fred Zhang · Jiaxin Ye · Zhuoran Yang
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