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Regularized Online RLHF with Generalized Bilinear Preferences
We consider the problem of contextual online RLHF with general preferences, where the goal is to identify the Nash Equilibrium. We …
Junghyun Lee, Minju Hong, Kwang-Sung Jun, Chulhee Yun, Se-Young Yun
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Regularized Online RLHF with Generalized Bilinear Preferences
A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions
We consider the problem of heteroskedastic generalized linear bandits (GLBs) with adversarial corruptions, which subsumes various …
Sanghwa Kim, Junghyun Lee, Se-Young Yun
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A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions
Learning to Reason in LLMs by Expectation Maximization
Large language models (LLMs) solve reasoning problems by first generating a rationale and then answering. We formalize reasoning as a …
Junghyun Lee, Branislav Kveton, Anup Rao, Subhojyoti Mukherjee, Ryan A. Rossi, Sunav Choudhary, Alexa Siu
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Learning to Reason in LLMs by Expectation Maximization