skscope: Fast Sparsity-Constrained Optimization in Python

1 code implementation • 27 Mar 2024 • Zezhi Wang, Jin Zhu, Peng Chen, Huiyang Peng, Xiaoke Zhang, Anran Wang, Yu Zheng, Junxian Zhu, Xueqin Wang

Applying iterative solvers on sparsity-constrained optimization (SCO) requires tedious mathematical deduction and careful programming/debugging that hinders these solvers' broad impact.

Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models

no code implementations • 21 Sep 2022 • Rui Miao, Zhengling Qi, Xiaoke Zhang

We study the problem of off-policy evaluation (OPE) for episodic Partially Observable Markov Decision Processes (POMDPs) with continuous states.

Causal Inference Off-policy evaluation

Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding

no code implementations • 3 May 2021 • Zhengling Qi, Rui Miao, Xiaoke Zhang

Data-driven individualized decision making has recently received increasing research interests.

Causal Inference Decision Making