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Toward Instance-Optimal State Certification With Incoherent Measurements


Feb 25, 2021
Sitan Chen, Jerry Li, Ryan O'Donnell

* 47 pages, comments welcome 

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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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