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 Aditi Raghunathan

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming

Nov 03, 2020
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian Goodfellow, Percy Liang, Pushmeet Kohli

  Access Paper or Ask Questions

Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning

Aug 06, 2020
Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn

* Project web page at 

  Access Paper or Ask Questions

The Pitfalls of Simplicity Bias in Neural Networks

Jun 13, 2020
Harshay Shah, Kaustav Tamuly, Aditi Raghunathan, Prateek Jain, Praneeth Netrapalli

  Access Paper or Ask Questions

An Investigation of Why Overparameterization Exacerbates Spurious Correlations

May 09, 2020
Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh, Percy Liang

  Access Paper or Ask Questions

Robust Encodings: A Framework for Combating Adversarial Typos

May 04, 2020
Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang

* ACL 2020 

  Access Paper or Ask Questions

DROCC: Deep Robust One-Class Classification

Feb 28, 2020
Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain

  Access Paper or Ask Questions

Understanding and Mitigating the Tradeoff Between Robustness and Accuracy

Feb 25, 2020
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang

  Access Paper or Ask Questions

Certified Robustness to Adversarial Word Substitutions

Sep 03, 2019
Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang

* EMNLP 2019 

  Access Paper or Ask Questions

Adversarial Training Can Hurt Generalization

Jun 14, 2019
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang

  Access Paper or Ask Questions

Unlabeled Data Improves Adversarial Robustness

Jun 10, 2019
Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, Percy Liang, John C. Duchi

  Access Paper or Ask Questions

Maximum Weighted Loss Discrepancy

Jun 08, 2019
Fereshte Khani, Aditi Raghunathan, Percy Liang

* ICLR 2019 Workshop. Safe Machine Learning: Specification, Robustness, and Assurance 

  Access Paper or Ask Questions

Semidefinite relaxations for certifying robustness to adversarial examples

Nov 02, 2018
Aditi Raghunathan, Jacob Steinhardt, Percy Liang

* To appear at NIPS 2018 

  Access Paper or Ask Questions

Certified Defenses against Adversarial Examples

Jan 29, 2018
Aditi Raghunathan, Jacob Steinhardt, Percy Liang

  Access Paper or Ask Questions

Estimating the unseen from multiple populations

Jul 12, 2017
Aditi Raghunathan, Greg Valiant, James Zou

* 13 pages, 3 figures, appearing at the International Conference on Machine Learning 2017 (ICML 2017) 

  Access Paper or Ask Questions

Learning Mixture of Gaussians with Streaming Data

Jul 08, 2017
Aditi Raghunathan, Ravishankar Krishnaswamy, Prateek Jain

* 20 pages, 1 figure 

  Access Paper or Ask Questions

Estimation from Indirect Supervision with Linear Moments

Aug 10, 2016
Aditi Raghunathan, Roy Frostig, John Duchi, Percy Liang

* 12 pages, 7 figures, extended and updated version of our paper appearing in ICML 2016 

  Access Paper or Ask Questions

Probabilistic Dependency Networks for Prediction and Diagnostics

Aug 13, 2015
Narayanan U. Edakunni, Aditi Raghunathan, Abhishek Tripathi, John Handley, Fredric Roulland

* Presented at the Transportation Research Board Annual Meeting 2014 

  Access Paper or Ask Questions

A Reinforcement Learning Approach to Online Learning of Decision Trees

Jul 24, 2015
Abhinav Garlapati, Aditi Raghunathan, Vaishnavh Nagarajan, Balaraman Ravindran

  Access Paper or Ask Questions