Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning

Wotao Yin , Lin F. Yang , Simon S. Du , Ruosong Wang
neural information processing systems 33 22492 -22504

1
2020
Attentional Biased Stochastic Gradient for Imbalanced Classification.

Wotao Yin , Rong Jin , Tianbao Yang , Yi Xu
arXiv: Learning

4
2020
CADA: Communication-Adaptive Distributed Adam

Wotao Yin , Tianyi Chen , Yuejiao Sun , Ziye Guo
arXiv: Learning

1
2020
Hybrid FL: Algorithms and Implementation

Wotao Yin , Mingyi Hong , Tianyi Chen , Xinwei Zhang
arXiv: Learning

2020
Hybrid Federated Learning: Algorithms and Implementation.

Wotao Yin , Mingyi Hong , Tianyi Chen , Xinwei Zhang
arXiv: Learning

2020
Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances

Wotao Yin , Yat Tin Chow , Wuchen Li , Jialin Liu
SIAM Journal on Scientific Computing 43 ( 1)

2
2021
Extracting respiratory signals from thoracic cone beam CT projections

Laura Cervino , Xuanqin Mou , Steve B. Jiang , Wotao Yin
arXiv: Medical Physics

2012
Fast non-coplanar beam orientation optimization based on group sparsity

Daniel O'Connor , Dan Nguyen , Wotao Yin , Ke Sheng
Unknown Journal

2
2017
A Single-Timescale Stochastic Bilevel Optimization Method.

Wotao Yin , Tianyi Chen , Yuejiao Sun
arXiv: Optimization and Control

56
2021
Decomposition Methods for Global Solutions of Mixed-Integer Linear Programs

Wotao Yin , Kaizhao Sun , Mou Sun
arXiv: Optimization and Control

2021
Learning A Minimax Optimizer: A Pilot Study

Wotao Yin , Jialin Liu , Zhangyang Wang , Howard Heaton
international conference on learning representations

15
2021
Learning to Optimize: A Primer and A Benchmark.

Wotao Yin , Jialin Liu , Zhangyang Wang , Howard Heaton
arXiv: Optimization and Control

3
2021
Wasserstein-based Projections with Applications to Inverse Problems

Wotao Yin , Stanley Osher , Samy Wu Fung , Alex Tong Lin
arXiv: Learning

3
2020
CADA: Communication-Adaptive Distributed Adam.

Wotao Yin , Tianyi Chen , Yuejiao Sun , Ziye Guo
international conference on artificial intelligence and statistics 613 -621

2020
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training.

Kun Yuan , Wotao Yin , Yinghui Xu , Xinmeng Huang
arXiv: Learning

1
2021
On Stochastic Moving-Average Estimators for Non-Convex Optimization.

Wotao Yin , Rong Jin , Tianbao Yang , Yi Xu
arXiv: Optimization and Control

3
2021
On the Comparison between Cyclic Sampling and Random Reshuffling.

Kun Yuan , Wotao Yin , Xianghui Mao , Xinmeng Huang
arXiv: Learning

2021
Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks

Jia Jasmine Meng , Wotao Yin , Husheng Li , Ekram Hossain
arXiv: Information Theory

32
2010
Image-based face illumination transferring using logarithmic total variation models

Qing Li , Wotao Yin , Zhigang Deng
The Visual Computer 26 ( 1) 41 -49

29
2009