31 citations · 32 across the 7 of their papers we have counts for
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cs.LG2026
Adaptive Self-Consistency: From Black-Box Sampling to Distribution-Valued Feedback
Jingkai Huang, Yunfan Zhang, Will Ma +2
Self-consistency samples many reasoning trajectories and aggregates their final answers, treating the LLM as a black box that returns one answer per trajectory. Yet the final answe…
cs.LG2023
On the Foundation of Distributionally Robust Reinforcement Learning
Shengbo Wang, Nian Si, Jose Blanchet +1
Motivated by the need for a robust policy in the face of environment shifts between training and deployment, we contribute to the theoretical foundation of distributionally robust…
cs.LG2020★ 31 cited
Sequential Batch Learning in Finite-Action Linear Contextual Bandits
Yanjun Han, Zhengqing Zhou, Zihao Hu +4
We study the sequential batch learning problem in linear contextual bandits with finite action sets, where the decision maker is constrained to split incoming individuals into (at…