67 citations · 107 across the 8 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 67 cited
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
Tengyang Xie, Yifei Ma, Yu-Xiang Wang
Motivated by the many real-world applications of reinforcement learning (RL) that require safe-policy iterations, we consider the problem of off-policy evaluation (OPE) -- the prob…
cs.LG2019★ 14 cited
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
Haibin Lin, Hang Zhang, Yifei Ma +4
With an increasing demand for training powers for deep learning algorithms and the rapid growth of computation resources in data centers, it is desirable to dynamically schedule di…
cs.LG2019★ 5 cited
Imitation-Regularized Offline Learning
Yifei Ma, Yu-Xiang Wang, Balakrishnan +1
We study the problem of offline learning in automated decision systems under the contextual bandits model. We are given logged historical data consisting of contexts, (randomized)…