Lin F. Yang (杨林)
机构: Assistant Professor, Department of Electrical and Computer Engineering @ UCLA
主页: drlinyang.net
每年引用次数
引用次数
引用: 3,894
H-指数: 29
I10-指数 : 59
出版物: 274
Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning
Mengdi Wang , Yichen Chen
arXiv: Machine Learning
63
2016
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
Mengdi Wang , Lin Yang , Tuo Zhao , Minshuo Chen
arXiv: Learning
11
2018
Estimation of Markov Chain via Rank-Constrained Likelihood
Mengdi Wang , Anru Zhang , Xudong Li
arXiv: Machine Learning
1
2018
Scalable Bilinear $\pi$ Learning Using State and Action Features
Mengdi Wang , Yichen Chen , Lihong Li
arXiv: Learning
19
2018
Minimax-optimal privacy-preserving sparse PCA in distributed systems
Mengdi Wang , Zhaoran Wang , Jason Ge , Han Liu
international conference on artificial intelligence and statistics 1589 -1598
14
2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
Aaron Sidford , Mengdi Wang , Yinyu Ye , Lin F. Yang
neural information processing systems 31 5186 -5196
56
2018
A Single Time-Scale Stochastic Approximation Method for Nested Stochastic Optimization
Saeed Ghadimi , Mengdi Wang , Andrzej Ruszczyński
arXiv: Optimization and Control
84
2018
Picasso: A sparse learning library for high dimensional data analysis in R and python
Mengdi Wang , Tuo Zhao , Tong Zhang , Xingguo Li
Journal of Machine Learning Research 20 ( 44) 1 -5
12
2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound.
Mengdi Wang , Lin F. Yang
arXiv: Learning
215
2019
Learning Markov models via low-rank optimization
Mengdi Wang , Anru Zhang , Ziwei Zhu , Xudong Li
arXiv: Methodology
17
2019
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Mengdi Wang , Lin F. Yang
international conference on machine learning 6995 -7004
61
2019
Learning low-dimensional state embeddings and metastable clusters from time series data
Mengdi Wang , Yifan Sun , Yaqi Duan , Hao Gong
neural information processing systems 32 4561 -4570
7
2019
PROVABLY BENEFITS OF DEEP HIERARCHICAL RL
Mengdi Wang , Lin F. Yang , Ruosong Wang , Zeyu Jia
2019
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain
Mengdi Wang , Alec Koppel , Amrit Singh Bedi , Junyu Zhang
arXiv: Machine Learning
7
2020
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan , Zeyu Jia , Mengdi Wang
arXiv: Learning
98
2020
Model-Based Reinforcement Learning with Value-Targeted Regression
Csaba Szepesvari , Mengdi Wang , Lin F. Yang , Zeyu Jia
arXiv: Learning
190
2020
Generalization Bounds for Stochastic Saddle Point Problems.
Mengdi Wang , Mingyi Hong , Shuzhong Zhang , Junyu Zhang
arXiv: Optimization and Control
19
2020
Sketching Transformed Matrices with Applications to Natural Language Processing.
Mengdi Wang , Yingyu Liang , Lin F. Yang , Xin Yang
international conference on artificial intelligence and statistics 467 -481
2020
Generalized Leverage Score Sampling for Neural Networks
Mengdi Wang , Jason D. Lee , Zhao Song , Ruoqi Shen
arXiv: Learning
26
2020
Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations
Zhuoran Yang , Chi Jin , Zhaoran Wang , Mengdi Wang
neural information processing systems 33 13903 -13916
28
2020