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Byzantine-Resilient Non-Convex Stochastic Gradient Descent

Dec 28, 2020
Zeyuan Allen-Zhu, Faeze Ebrahimian, Jerry Li, Dan Alistarh


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List-Decodable Mean Estimation in Nearly-PCA Time

Nov 19, 2020
Ilias Diakonikolas, Daniel M. Kane, Daniel Kongsgaard, Jerry Li, Kevin Tian

* 57 pages 

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Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent

Sep 13, 2020
Matthew Brennan, Guy Bresler, Samuel B. Hopkins, Jerry Li, Tselil Schramm


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Aligning AI With Shared Human Values

Aug 05, 2020
Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt


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Well-Conditioned Methods for Ill-Conditioned Systems: Linear Regression with Semi-Random Noise

Aug 04, 2020
Jerry Li, Aaron Sidford, Kevin Tian, Huishuai Zhang

* 31 pages, 4 figures 

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Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization

Jul 31, 2020
Samuel B. Hopkins, Jerry Li, Fred Zhang

* 40 pages 

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Security and Machine Learning in the Real World

Jul 13, 2020
Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li


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RL Unplugged: Benchmarks for Offline Reinforcement Learning

Jul 02, 2020
Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gomez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas

* 21 pages including supplementary material, the github link for the datasets: https://github.com/deepmind/deepmind-research/rl_unplugged 

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Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time

Jun 23, 2020
Jerry Li, Guanghao Ye


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Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing

Jun 12, 2020
Arun Jambulapati, Jerry Li, Kevin Tian

* 35 pages 

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Efficient Algorithms for Multidimensional Segmented Regression

Mar 24, 2020
Ilias Diakonikolas, Jerry Li, Anastasia Voloshinov


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An empirical investigation of the challenges of real-world reinforcement learning

Mar 24, 2020
Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester

* arXiv admin note: text overlap with arXiv:1904.12901 

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Randomized Smoothing of All Shapes and Sizes

Mar 04, 2020
Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li

* 9 pages main text, 47 pages total 

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Learning Structured Distributions From Untrusted Batches: Faster and Simpler

Feb 24, 2020
Sitan Chen, Jerry Li, Ankur Moitra

* 34 pages 

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Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments

Dec 16, 2019
Sitan Chen, Jerry Li, Zhao Song

* 83 pages, 1 figure 

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Efficiently Learning Structured Distributions from Untrusted Batches

Nov 05, 2019
Sitan Chen, Jerry Li, Ankur Moitra

* 46 pages 

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Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection

Jun 26, 2019
Yihe Dong, Samuel B. Hopkins, Jerry Li


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Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Jun 12, 2019
Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck

* 27 pages 

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Sample Efficient Toeplitz Covariance Estimation

Jun 06, 2019
Yonina C. Eldar, Jerry Li, Cameron Musco, Christopher Musco


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Spectral Signatures in Backdoor Attacks

Nov 01, 2018
Brandon Tran, Jerry Li, Aleksander Madry

* 16 pages, accepted to NIPS 2018 

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Privately Learning High-Dimensional Distributions

Sep 18, 2018
Gautam Kamath, Jerry Li, Vikrant Singhal, Jonathan Ullman


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Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs

Aug 26, 2018
Jerry Li


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On the Limitations of First-Order Approximation in GAN Dynamics

Jun 03, 2018
Jerry Li, Aleksander Madry, John Peebles, Ludwig Schmidt

* 18 pages, 4 figures, accepted to ICML 2018 

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Byzantine Stochastic Gradient Descent

Mar 23, 2018
Dan Alistarh, Zeyuan Allen-Zhu, Jerry Li


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Being Robust (in High Dimensions) Can Be Practical

Mar 13, 2018
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart

* Appeared in ICML 2017 

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Sever: A Robust Meta-Algorithm for Stochastic Optimization

Mar 07, 2018
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Jacob Steinhardt, Alistair Stewart


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