Mengdi Wang

9 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-2101-9507

Department of ECE, Princeton University

Publications

• On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Optimal policy evaluation using kernel-based temporal difference methods — The Annals of Statistics 2024
• Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Learning Markov Models Via Low-Rank Optimization — Operations Research 2022
• Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• Approximation Hardness for A Class of Sparse Optimization Problems — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• Accelerating Stochastic Composition Optimization — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)