Yuekai Sun

发表

On model selection consistency of M-estimators with geometrically decomposable penalties

Jonathan E. Taylor, J. Lee, Yuekai Sun, 2013, NIPS 2013.

Communication-efficient Sparse Regression

Qiang Liu, Jonathan E. Taylor, Jason D. Lee, 2017, J. Mach. Learn. Res..

Exact post-selection inference, with application to the lasso

Dennis L. Sun, Jonathan E. Taylor, J. Lee, 2013, 1311.6238.

Exact post-selection inference with the lasso

Dennis L. Sun, Jonathan E. Taylor, J. Lee, 2013 .

Proximal Newton-Type Methods for Minimizing Composite Functions

Michael A. Saunders, Jason D. Lee, Yuekai Sun, 2012, SIAM J. Optim..

Proximal Newton-type methods for convex optimization

Michael A. Saunders, Jason D. Lee, Yuekai Sun, 2012, NIPS.

Exact inference after model selection via the Lasso

Dennis L. Sun, Jonathan E. Taylor, J. Lee, 2013 .

Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data

Edward J. O'Brien, Jonathan M. Monk, James T. Yurkovich, 2015, Proceedings of the National Academy of Sciences.

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0.

Francisco J. Planes, Ronan M. T. Fleming, Sarah M. Keating, 2017, 1710.04038.

Minimax optimal approaches to the label shift problem

Yuekai Sun, M. Banerjee, Subha Maity, 2020, 2003.10443.

Statistical convergence of the EM algorithm on Gaussian mixture models

Yuekai Sun, Ruofei Zhao, Yuanzhi Li, 2018, Electronic Journal of Statistics.

PREDICTORS WITH SENSITIVE SUBSPACE ROBUSTNESS By

Yuekai Sun, Mikhail Yurochkin, Amanda Bower, 2019 .

Does enforcing fairness mitigate biases caused by subpopulation shift?

Yuekai Sun, Mikhail Yurochkin, Subha Maity, 2020, NeurIPS.

Do genome-scale models need exact solvers or clearer standards?

Ronan M. T. Fleming, Adam M. Feist, Jason A. Papin, 2015, Molecular systems biology.

Convergence analysis of inexact proximal Newton-type methods

J. Lee, Yuekai Sun, 2012 .

Domain Adaptation meets Individual Fairness. And they get along

Yuekai Sun, Mikhail Yurochkin, Felix Petersen, 2022, 2205.00504.

Understanding new tasks through the lens of training data via exponential tilting

Yuekai Sun, Mikhail Yurochkin, M. Banerjee, 2022, 2205.13577.

How does overparametrization affect performance on minority groups?

Yuekai Sun, Mikhail Yurochkin, Subha Maity, 2022, ArXiv.

Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions

Yuekai Sun, M. Banerjee, Subha Maity, 2019, 1912.11928.

Creation and analysis of biochemical constraint-based models : the COBRA Toolbox v 3 . 0 26 th February 2018

Francisco J. Planes, Ronan M. T. Fleming, Maike K. Aurich, 2018 .

Simultaneous Coverage : It also makes sense to talk about events that are defined simultaneously over all j ∈

Dennis L. Sun, Jonathan E. Taylor, J. Lee, 2015 .

Domain Adaptation meets Individual Fairness. And they get along

Yuekai Sun, Mikhail Yurochkin, Felix Petersen, 2022, NeurIPS.

Supplementary material for Dirichlet Simplex Nest and Geometric Inference

X. Nguyen, Aritra Guha, Yuekai Sun, 2019 .

Matrix completion methods for the total electron content video reconstruction

Yang Chen, Hu Sun, Yuekai Sun, 2020, The Annals of Applied Statistics.

Yelp + + : 10 Times More Information per View

Ernest K. Ryu, Yuekai Sun, Sean Choi, 2011 .

Minimax optimal approaches to the label shift problem in non-parametric settings

Yuekai Sun, M. Banerjee, Subha Maity, 2020, J. Mach. Learn. Res..

Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0

Anne Richelle, Iñigo Apaolaza, Lin Wang, 2019, Nature Protocols.

A Geometric Approach to Archetypal Analysis and Nonnegative Matrix Factorization

Yuekai Sun, Anil Damle, Yuekai Sun, 2014, Technometrics.

Training individually fair ML models with sensitive subspace robustness

Yuekai Sun, Mikhail Yurochkin, Amanda Bower, 2019, ICLR.

Federated Learning with Matched Averaging pdf

Yasaman Khazaeni, Yuekai Sun, Mikhail Yurochkin, 2020, ICLR.

Outlier-Robust Optimal Transport

Justin Solomon, Yuekai Sun, Mikhail Yurochkin, 2020, ICML.

Understanding new tasks through the lens of training data via exponential tilting

Yuekai Sun, Mikhail Yurochkin, M. Banerjee, 2022, ICLR.

Post-processing for Individual Fairness

Yuekai Sun, Mikhail Yurochkin, Felix Petersen, 2021, NeurIPS.

Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees

Yuekai Sun, Mikhail Yurochkin, Songkai Xue, 2023, NeurIPS.

Uniform Bounds for Invariant Subspace Perturbations

Yuekai Sun, Anil Damle, 2019, SIAM J. Matrix Anal. Appl..

Two Simple Ways to Learn Individual Fairness Metrics from Data pdf

Yuekai Sun, Mikhail Yurochkin, Debarghya Mukherjee, 2020, ICML.

On sensitivity of meta-learning to support data pdf

Yuekai Sun, Mikhail Yurochkin, Mayank Agarwal, 2021, NeurIPS.

Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms

Ambuj Tewari, Yuekai Sun, Laura Niss, 2022, ArXiv.

Debiasing representations by removing unwanted variation due to protected attributes pdf

Yuekai Sun, Amanda Bower, Laura Niss, 2018, ArXiv.

A linear adjustment-based approach to posterior drift in transfer learning.

Yuekai Sun, Jonathan Terhorst, Moulinath Banerjee, 2021, Biometrika.

SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness pdf

Yuekai Sun, Mikhail Yurochkin, Yuekai Sun, 2020, ICLR.

Matrix completion methods for the total electron content video reconstruction

Yuekai Sun, Yang Chen, S. Zou, 2020, The Annals of Applied Statistics.

Learning fair predictors with Sensitive Subspace Robustness pdf

Yuekai Sun, Mikhail Yurochkin, Amanda Bower, 2019, ArXiv.

Valid post-correction inference for censored regression problems

Jonathan E. Taylor, Yuekai Sun, 2014, 1403.3457.

Auditing ML Models for Individual Bias and Unfairness

Yuekai Sun, Mikhail Yurochkin, Songkai Xue, 2020, AISTATS.

Individually Fair Rankings

Yuekai Sun, Mikhail Yurochkin, Amanda Bower, 2021, ICLR.

ISAAC Newton: Input-based Approximate Curvature for Newton's Method

Dongsung Huh, Yuekai Sun, C. Borgelt, 2023, ICLR.

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

Yuekai Sun, Mikhail Yurochkin, Debarghya Mukherjee, 2020, ArXiv.

Simple Disentanglement of Style and Content in Visual Representations

Alex Gittens, Yuekai Sun, Mikhail Yurochkin, 2023, ArXiv.

Robust flux balance analysis of multiscale biochemical reaction networks

Michael A. Saunders, Ronan M. T. Fleming, Ines Thiele, 2013, BMC Bioinformatics.

Communication-efficient sparse regression: a one-shot approach pdf

Qiang Liu, Jonathan E. Taylor, Jason D. Lee, 2015, ArXiv.

On model selection consistency of regularized M-estimators

Jonathan E. Taylor, J. Lee, Yuekai Sun, 2013, ArXiv.

Statistical inference for individual fairness pdf

Yuekai Sun, Mikhail Yurochkin, Subha Maity, 2021, ICLR.

Conditional independence testing under model misspecification

Felipe Maia Polo, Yuekai Sun, M. Banerjee, 2023, 2307.02520.

Individually Fair Gradient Boosting pdf

Yuekai Sun, Mikhail Yurochkin, Fan Zhang, 2021, ICLR.

Feature-distributed sparse regression: a screen-and-clean approach

Michael A. Saunders, Michael W. Mahoney, Jiyan Yang, 2016, NIPS.

Dirichlet Simplex Nest and Geometric Inference

XuanLong Nguyen, Yuekai Sun, Mikhail Yurochkin, 2019, ICML.

Communication-Efficient Integrative Regression in High-Dimensions

Yuekai Sun, Moulinath Banerjee, Subha Maity, 2019 .

On model selection consistency of M-estimators with geometrically decomposable penalties

Jonathan E. Taylor, J. Lee, Yuekai Sun, 2013, NIPS 2013.

Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0

Sarah M. Keating, Maike K. Aurich, H. S. Hinton, 2019, Nature Protocols.

Personalization in Federated Learning

Yuekai Sun, Mayank Agarwal, M. Yurochkin, 2022, Federated Learning.

Predictor-corrector algorithms for stochastic optimization under gradual distribution shift

Yuekai Sun, M. Banerjee, Subha Maity, 2022, ICLR.

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

Cho-Jui Hsieh, Jason D. Lee, Xuanqing Liu, 2017, ArXiv.

Outlier-Robust Optimal Transport

J. Solomon, Aritra Guha, Yuekai Sun, 2020, ICML.