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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


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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 https://ezliu.github.io/dream 

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The Pitfalls of Simplicity Bias in Neural Networks


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


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An Investigation of Why Overparameterization Exacerbates Spurious Correlations


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


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Robust Encodings: A Framework for Combating Adversarial Typos


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

* ACL 2020 

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DROCC: Deep Robust One-Class Classification


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


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Understanding and Mitigating the Tradeoff Between Robustness and Accuracy


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


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Certified Robustness to Adversarial Word Substitutions


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

* EMNLP 2019 

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Adversarial Training Can Hurt Generalization


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


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Unlabeled Data Improves Adversarial Robustness


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


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Maximum Weighted Loss Discrepancy


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

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

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Semidefinite relaxations for certifying robustness to adversarial examples


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

* To appear at NIPS 2018 

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Certified Defenses against Adversarial Examples


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


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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) 

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Learning Mixture of Gaussians with Streaming Data


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

* 20 pages, 1 figure 

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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 

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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 

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A Reinforcement Learning Approach to Online Learning of Decision Trees


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


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