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DORO: Distributional and Outlier Robust Optimization

Jun 11, 2021
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar

* ICML 2021. Codes: 

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Fundamental Limits and Tradeoffs in Invariant Representation Learning

Dec 19, 2020
Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar

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Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification

Jun 29, 2020
Chen Dan, Yuting Wei, Pradeep Ravikumar

* 25 pages, 1 figure. Accepted by ICML 2020 

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Class-Weighted Classification: Trade-offs and Robust Approaches

May 26, 2020
Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar

* 28 pages, 4 figures 

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Learning Complexity of Simulated Annealing

Mar 06, 2020
Avrim Blum, Chen Dan, Saeed Seddighin

* 45 pages 

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MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Feb 15, 2020
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang

* In ICLR 2020. 20 Pages 

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Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation

Oct 30, 2019
Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar

* 20 pages, accepted by NeurIPS 2019 

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Learning Sparse Nonparametric DAGs

Sep 29, 2019
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing

* 17 pages, 5 figures 

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Adversarially Robust Generalization Just Requires More Unlabeled Data

Jun 03, 2019
Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John Hopcroft, Liwei Wang

* 16 pages. Submitted to NeurIPS 2019 

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Sample Complexity of Nonparametric Semi-Supervised Learning

Sep 10, 2018
Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing

* 18 pages, 3 figures 

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Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering

Apr 22, 2018
Bryon Aragam, Chen Dan, Pradeep Ravikumar, Eric P. Xing

* 25 pages, 8 figures, 1 table. Added more experiments 

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