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

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Yuekai Sun

Individually Fair Gradient Boosting


Mar 31, 2021
Alexander Vargo, Fan Zhang, Mikhail Yurochkin, Yuekai Sun

* ICLR Camera-Ready Version 

  Access Paper or Ask Questions

Statistical inference for individual fairness


Mar 30, 2021
Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun


  Access Paper or Ask Questions

Individually Fair Ranking


Mar 19, 2021
Amanda Bower, Hamid Eftekhari, Mikhail Yurochkin, Yuekai Sun

* ICLR Camera-Ready Version 

  Access Paper or Ask Questions

There is no trade-off: enforcing fairness can improve accuracy


Nov 06, 2020
Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun


  Access Paper or Ask Questions

SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness


Jun 25, 2020
Mikhail Yurochkin, Yuekai Sun


  Access Paper or Ask Questions

Two Simple Ways to Learn Individual Fairness Metrics from Data


Jun 19, 2020
Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun

* To appear in ICML 2020 

  Access Paper or Ask Questions

Minimax optimal approaches to the label shift problem


Apr 04, 2020
Subha Maity, Yuekai Sun, Moulinath Banerjee


  Access Paper or Ask Questions

Auditing ML Models for Individual Bias and Unfairness


Mar 11, 2020
Songkai Xue, Mikhail Yurochkin, Yuekai Sun

* In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 

  Access Paper or Ask Questions

Federated Learning with Matched Averaging


Feb 15, 2020
Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris Papailiopoulos, Yasaman Khazaeni

* Accepted by ICLR 2020 

  Access Paper or Ask Questions

Communication-Efficient Integrative Regression in High-Dimensions


Dec 26, 2019
Subha Maity, Yuekai Sun, Moulinath Banerjee


  Access Paper or Ask Questions

Learning fair predictors with Sensitive Subspace Robustness


Jun 28, 2019
Mikhail Yurochkin, Amanda Bower, Yuekai Sun


  Access Paper or Ask Questions

Dirichlet Simplex Nest and Geometric Inference


May 27, 2019
Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen

* ICML 2019 

  Access Paper or Ask Questions

Precision Matrix Estimation with Noisy and Missing Data


Apr 07, 2019
Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou

* 27 pages, 14 figures, to appear in The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019) 

  Access Paper or Ask Questions

An inexact subsampled proximal Newton-type method for large-scale machine learning


Aug 28, 2017
Xuanqing Liu, Cho-Jui Hsieh, Jason D. Lee, Yuekai Sun


  Access Paper or Ask Questions

On conditional parity as a notion of non-discrimination in machine learning


Jun 26, 2017
Ya'acov Ritov, Yuekai Sun, Ruofei Zhao


  Access Paper or Ask Questions

Exact post-selection inference, with application to the lasso


May 03, 2016
Jason D. Lee, Dennis L. Sun, Yuekai Sun, Jonathan E. Taylor

* Annals of Statistics 2016, Vol. 44, No. 3, 907-927 
* Published at http://dx.doi.org/10.1214/15-AOS1371 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

  Access Paper or Ask Questions

Communication-efficient sparse regression: a one-shot approach


Aug 11, 2015
Jason D. Lee, Yuekai Sun, Qiang Liu, Jonathan E. Taylor

* 29 pages, 3 figures 

  Access Paper or Ask Questions

On model selection consistency of regularized M-estimators


Oct 11, 2014
Jason D. Lee, Yuekai Sun, Jonathan E. Taylor


  Access Paper or Ask Questions

Learning Mixtures of Linear Classifiers


Jul 30, 2014
Yuekai Sun, Stratis Ioannidis, Andrea Montanari


  Access Paper or Ask Questions

Proximal Newton-type methods for minimizing composite functions


Mar 17, 2014
Jason D. Lee, Yuekai Sun, Michael A. Saunders


  Access Paper or Ask Questions