Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
How Do Fair Decisions Fare in Long-term Qualification?

Oct 21, 2020
Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang

* Accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS) 

  Access Paper or Ask Questions

Fairness in Learning-Based Sequential Decision Algorithms: A Survey

Jan 14, 2020
Xueru Zhang, Mingyan Liu


  Access Paper or Ask Questions

Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms

Oct 08, 2019
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

* In IEEE Transactions on Information Forensics and Security (TIFS), 2019 
* arXiv admin note: substantial text overlap with arXiv:1810.03197 

  Access Paper or Ask Questions

Characterizing Attacks on Deep Reinforcement Learning

Jul 24, 2019
Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song


  Access Paper or Ask Questions

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Jul 11, 2019
Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li


  Access Paper or Ask Questions

Long term impact of fair machine learning in sequential decision making: representation disparity and group retention

May 02, 2019
Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu


  Access Paper or Ask Questions

Distributed Learning of Average Belief Over Networks Using Sequential Observations

Nov 19, 2018
Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Başar

* Accepted to Automatica 

  Access Paper or Ask Questions

Realistic Adversarial Examples in 3D Meshes

Oct 11, 2018
Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu


  Access Paper or Ask Questions

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation

Oct 11, 2018
Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song

* Accepted to ECCV 2018 

  Access Paper or Ask Questions

Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms

Oct 07, 2018
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

* Accepted to 56th Annual Allerton Conference on Communication, Control, and Computing 

  Access Paper or Ask Questions

Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms

Jun 06, 2018
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

* accepted to 35th International Conference on Machine Learning 

  Access Paper or Ask Questions

Generating Adversarial Examples with Adversarial Networks

Jan 15, 2018
Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song


  Access Paper or Ask Questions

Spatially Transformed Adversarial Examples

Jan 09, 2018
Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song


  Access Paper or Ask Questions

An Online Approach to Dynamic Channel Access and Transmission Scheduling

Apr 04, 2015
Yang Liu, Mingyan Liu

* 10 pages, to appear in MobiHoc 2015 

  Access Paper or Ask Questions

Optimal Adaptive Learning in Uncontrolled Restless Bandit Problems

Jan 29, 2015
Cem Tekin, Mingyan Liu


  Access Paper or Ask Questions

Group Learning and Opinion Diffusion in a Broadcast Network

Sep 14, 2013
Yang Liu, Mingyan Liu


  Access Paper or Ask Questions

Online Learning in a Contract Selection Problem

May 15, 2013
Cem Tekin, Mingyan Liu


  Access Paper or Ask Questions

Online Learning in Decentralized Multiuser Resource Sharing Problems

Oct 19, 2012
Cem Tekin, Mingyan Liu


  Access Paper or Ask Questions

Online Learning for Combinatorial Network Optimization with Restless Markovian Rewards

Sep 08, 2011
Yi Gai, Bhaskar Krishnamachari, Mingyan Liu


  Access Paper or Ask Questions

Performance and Convergence of Multi-user Online Learning

Jul 21, 2011
Cem Tekin, Mingyan Liu

* in Proceedings of GAMENETS 2011 

  Access Paper or Ask Questions

On the Combinatorial Multi-Armed Bandit Problem with Markovian Rewards

Mar 20, 2011
Yi Gai, Bhaskar Krishnamachari, Mingyan Liu


  Access Paper or Ask Questions

Online Learning of Rested and Restless Bandits

Feb 17, 2011
Cem Tekin, Mingyan Liu

* Information Theory, IEEE Transactions on , vol.58, no.8, pp.5588,5611, Aug. 2012 

  Access Paper or Ask Questions

Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach

Oct 01, 2010
Cem Tekin, Mingyan Liu


  Access Paper or Ask Questions

Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards

Jul 26, 2010
Cem Tekin, Mingyan Liu


  Access Paper or Ask Questions