Zaiwen Wen | DeepAI

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Mengdi Wang
91 publications
Cheng Chen
78 publications
Dong Xu
51 publications
Anthony Man-Cho So
42 publications
Jiang Hu
33 publications
Yinyu Ye
32 publications
Weijie Chen
26 publications
Fan Chen
22 publications
Junyu Zhang
18 publications
Yaqi Duan
13 publications
Huajie Chen
12 publications

∙ 07/03/2023

Monte Carlo Policy Gradient Method for Binary Optimization

Binary optimization has a wide range of applications in combinatorial op...

0 Cheng Chen, et al. ∙

∙ 03/19/2023

Provable Convergence of Variational Monte Carlo Methods

The Variational Monte Carlo (VMC) is a promising approach for computing ...

0 Tianyou Li, et al. ∙

∙ 02/25/2023

Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation

In this paper, based on the spirit of Fitted Q-Iteration (FQI), we propo...

0 Zhifa Ke, et al. ∙

∙ 09/26/2022

Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation

We study in this paper the function approximation error of linear interp...

0 Liyuan Cao, et al. ∙

∙ 07/15/2022

Riemannian Natural Gradient Methods

This paper studies large-scale optimization problems on Riemannian manif...

0 Jiang Hu, et al. ∙

∙ 07/13/2022

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP

As an important framework for safe Reinforcement Learning, the Constrain...

0 Fan Chen, et al. ∙

∙ 06/14/2021

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning

In this paper, a novel second-order method called NG+ is proposed. By fo...

0 Minghan Yang, et al. ∙

∙ 05/20/2021

A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning

In this paper, we consider the linear programming (LP) formulation for d...

0 YongFeng Li, et al. ∙

∙ 06/17/2020

Structured Stochastic Quasi-Newton Methods for Large-Scale Optimization Problems

In this paper, we consider large-scale finite-sum nonconvex problems ari...

17 Minghan Yang, et al. ∙

∙ 06/10/2020

Sketchy Empirical Natural Gradient Methods for Deep Learning

In this paper, we develop an efficient sketchy empirical natural gradien...

10 Minghan Yang, et al. ∙

∙ 07/02/2019

Ground states and their characterization of spin-F Bose-Einstein condensates

The computation of the ground states of spin-F Bose-Einstein condensates...

0 Tonghua Tian, et al. ∙

∙ 06/09/2019

Toward Solving 2-TBSG Efficiently

2-TBSG is a two-player game model which aims to find Nash equilibriums a...

0 Zeyu Jia, et al. ∙

∙ 10/14/2018

Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains

This paper develops a low-nonnegative-rank approximation method to ident...

1 Yaqi Duan, et al. ∙

∙ 03/09/2018

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization

In this work, we present a globalized stochastic semismooth Newton metho...

0 Andre Milzarek, et al. ∙

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