Publications (28)
Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using Bellman Duality
Woon Sang Cho, Mengdi Wang
Scalable Bilinear $Ï$ Learning Using State and Action Features
Yichen Chen, Lihong Li, Mengdi Wang
Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning
Yichen Chen, Mengdi Wang
Lower Bound On the Computational Complexity of Discounted Markov Decision Problems
Yichen Chen, Mengdi Wang
Learning to Control in Metric Space with Optimal Regret
Lin F. Yang, Chengzhuo Ni, Mengdi Wang
Improved Oracle Complexity of Variance Reduced Methods for Nonsmooth Convex Stochastic Composition Optimization
Tianyi Lin, Chenyou Fan, Mengdi Wang
Towards Coherent and Cohesive Long-form Text Generation
Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang +5
Multi-Level Stochastic Gradient Methods for Nested Composition Optimization
Shuoguang Yang, Mengdi Wang, Ethan X. Fang
Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions
Mengdi Wang, Ethan X. Fang, Han Liu
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
Yichen Chen, Dongdong Ge, Mengdi Wang +3
Primal-Dual $Ï$ Learning: Sample Complexity and Sublinear Run Time for Ergodic Markov Decision Problems
Mengdi Wang
Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks
Mengdi Wang, Qing Zhang, Jun Yang +2
Approximation Methods for Bilevel Programming
Saeed Ghadimi, Mengdi Wang
Finite-sum Composition Optimization via Variance Reduced Gradient Descent
Xiangru Lian, Mengdi Wang, Ji Liu
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Lin F. Yang, Mengdi Wang
Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Running Time
Mengdi Wang
Near-Optimal Stochastic Approximation for Online Principal Component Estimation
Chris Junchi Li, Mengdi Wang, Han Liu +1
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin F. Yang, Mengdi Wang
Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains
Yaqi Duan, Mengdi Wang, Zaiwen Wen +1
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
Minshuo Chen, Lin Yang, Mengdi Wang +1
Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints
Mengdi Wang, Yichen Chen, Jialin Liu +1
RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization
Hao Lu, Mengdi Wang
Accelerating Stochastic Composition Optimization
Mengdi Wang, Ji Liu, Ethan X. Fang
Near-Optimal Time and Sample Complexities for Solving Discounted Markov Decision Process with a Generative Model
Aaron Sidford, Mengdi Wang, Xian Wu +2
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
Chris Junchi Li, Mengdi Wang, Han Liu +1
Online Factorization and Partition of Complex Networks From Random Walks
Lin F. Yang, Vladimir Braverman, Tuo Zhao +1
Estimation of Markov Chain via Rank-Constrained Likelihood
Xudong Li, Mengdi Wang, Anru Zhang
Feature-Based Q-Learning for Two-Player Stochastic Games
Zeyu Jia, Lin F. Yang, Mengdi Wang