*: Alphabetical order or Equal contribution.


Adversarially Robust Generalization Just Requires More Unlabeled Data

arXiv 1906.00555

Runtian Zhai*, Tianle Cai*, Di He*, Chen Dan, Kun He, John Hopcroft, Liwei Wang

Journal Papers

Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering

Annals of Statistics 2019, arXiv 1802.04397

Bryon Aragam, Chen Dan, Pradeep Ravikumar, Eric P. Xing

Conference Papers

Learning Sparse Nonparametric DAGs

AISTATS 2020, arXiv 1909.13189

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

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

ICLR 2020, OpenReview

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

Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation

NeurIPS 2019, arXiv 1910.13618, Poster

Chen Dan, Hong Wang*, Hongyang Zhang*, Yuchen Zhou*, Pradeep Ravikumar

Bilu-Linial Stability, Certified Algorithms and the Independent Set Problem

ESA 2019, arXiv 1810.08414

Haris Angelidakis*, Pranjal Awasthi*, Avrim Blum*, Vaggos Chatziafratis*, Chen Dan*

The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models

NeurIPS 2018, arXiv 1809.03073

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

Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations

MFCS 2018, arXiv 1511.01699

Chen Dan, Kristoffer Arnsfelt Hansen, Liwei Wang, He Jiang, Yuchen Zhou

Undergraduate Thesis

On Low Rank Approximation of Binary Matrices , 二元矩阵的低秩近似

PDF (In Chinese)

Thesis Advisor: Prof. Liwei Wang.

Top-10 Undergraduate Thesis Award in School of EECS, 2016 (The only recipient in department of Machine Intelligence)