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cs.LG2025
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
Yuchen Hu, Xi Chen, Weidong Liu +1
Distributed stochastic optimization algorithms can simultaneously process large-scale datasets, significantly accelerating model training. However, their effectiveness is often hin…
cs.LG2021★ 2 cited
Off-Policy Evaluation in Partially Observed Markov Decision Processes under Sequential Ignorability
Yuchen Hu, Stefan Wager
We consider off-policy evaluation of dynamic treatment rules under sequential ignorability, given an assumption that the underlying system can be modeled as a partially observed Ma…