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 Edgar Dobriban

PAC Prediction Sets Under Covariate Shift

Jun 17, 2021
Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

  Access Paper or Ask Questions

Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition

Mar 17, 2021
Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma

  Access Paper or Ask Questions

Sparse sketches with small inversion bias

Nov 21, 2020
Michał Dereziński, Zhenyu Liao, Edgar Dobriban, Michael W. Mahoney

  Access Paper or Ask Questions

What causes the test error? Going beyond bias-variance via ANOVA

Oct 11, 2020
Licong Lin, Edgar Dobriban

  Access Paper or Ask Questions

DeltaGrad: Rapid retraining of machine learning models

Jun 30, 2020
Yinjun Wu, Edgar Dobriban, Susan B. Davidson

* published in ICML 2020 

  Access Paper or Ask Questions

Provable tradeoffs in adversarially robust classification

Jun 09, 2020
Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey

* 27 pages, 4 figures 

  Access Paper or Ask Questions

The Implicit Regularization of Stochastic Gradient Flow for Least Squares

Mar 17, 2020
Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani

  Access Paper or Ask Questions

Limiting Spectrum of Randomized Hadamard Transform and Optimal Iterative Sketching Methods

Feb 21, 2020
Jonathan Lacotte, Sifan Liu, Edgar Dobriban, Mert Pilanci

  Access Paper or Ask Questions

Implicit Regularization of Normalization Methods

Nov 23, 2019
Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel Ward, Qiang Liu

  Access Paper or Ask Questions

Invariance reduces Variance: Understanding Data Augmentation in Deep Learning and Beyond

Jul 25, 2019
Shuxiao Chen, Edgar Dobriban, Jane H Lee

  Access Paper or Ask Questions

One-shot distributed ridge regression in high dimensions

Mar 22, 2019
Edgar Dobriban, Yue Sheng

  Access Paper or Ask Questions

A New Theory for Sketching in Linear Regression

Oct 14, 2018
Edgar Dobriban, Sifan Liu

  Access Paper or Ask Questions

Distributed linear regression by averaging

Sep 30, 2018
Edgar Dobriban, Yue Sheng

  Access Paper or Ask Questions

High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification

Nov 04, 2015
Edgar Dobriban, Stefan Wager

* Added a section on prediction versus estimation for ridge regression. Rewrote introduction. Other results unchanged 

  Access Paper or Ask Questions