873 citations · 5.4k across the 120 of their papers we have counts for
9 papers · 1 filter
How Does an Approximate Model Help in Reinforcement Learning?
Fei Feng, Wotao Yin, Lin F. Yang
One of the key approaches to save samples in reinforcement learning (RL) is to use knowledge from an approximate model such as its simulator. However, how much does an approximate…
Tight Coefficients of Averaged Operators via Scaled Relative Graph
Xinmeng Huang, Ernest K. Ryu, Wotao Yin
Many iterative methods in optimization are fixed-point iterations with averaged operators. As such methods converge at an rate with the constant determined by th…
XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training
Lei Guan, Wotao Yin, Dongsheng Li +1
We propose XPipe, an efficient asynchronous pipeline model parallelism approach for multi-GPU DNN training. XPipe is designed to use multiple GPUs to concurrently and continuously…
On The Geometric Analysis of A Quartic-quadratic Optimization Problem under A Spherical Constraint
Haixiang Zhang, Andre Milzarek, Zaiwen Wen +1
This paper considers the problem of solving a special quartic-quadratic optimization problem with a single sphere constraint, namely, finding a global and local minimizer of $\frac…
Consistent Dynamic Mode Decomposition
Omri Azencot, Wotao Yin, Andrea Bertozzi
We propose a new method for computing Dynamic Mode Decomposition (DMD) evolution matrices, which we use to analyze dynamical systems. Unlike the majority of existing methods, our a…
Acceleration of SVRG and Katyusha X by Inexact Preconditioning
Yanli Liu, Fei Feng, Wotao Yin
Empirical risk minimization is an important class of optimization problems with many popular machine learning applications, and stochastic variance reduction methods are popular ch…