Publications

*: Alphabetical order or Equal contribution.

Google Scolar; DBLP.

Journal Papers

1. Fundamental Limits and Tradeoffs in Invariant Representation Learning

   • Journal of Machine Learning (JMLR) 2022, arXiv 2012.10713
   • Han Zhao*, Chen Dan*, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar

2. Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering

   • Annals of Statistics 2020, Journal Version, arXiv 1802.04397
   • Bryon Aragam, Chen Dan, Pradeep Ravikumar, Eric P. Xing

Conference Papers

1. Understanding Why Generalized Reweighting Does Not Improve Over ERM

   • ICLR 2023, arXiv 2201.12293
   • Runtian Zhai, Chen Dan, Pradeep Ravikumar, Zico Kolter

2. Boosted CVaR Classification

   • NeurIPS 2021, arXiv 2110.13948
   • Runtian Zhai, Chen Dan, Arun Sai Suggala, Pradeep Ravikumar, Zico Kolter

3. DORO: Distributional and Outlier Robust Optimization

   • ICML 2021, arXiv 2106.06142
   • Runtian Zhai*, Chen Dan*, Pradeep Ravikumar, Zico Kolter

4. Learning Complexity of Simulated Annealing

   • AISTATS 2021, arXiv 2003.02981
   • Avrim Blum*, Chen Dan*, Saeed Seddighin*

5. Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification

   • ICML 2020, arXiv 2006.16384, Slides
   • Chen Dan, Yuting Wei, Pradeep Ravikumar

6. Class-Weighted Classification: Trade-offs and Robust Approaches

   • ICML 2020, arXiv 2005.12914
   • Ziyu Neil Xu, Chen Dan, Justin Khim, Pradeep Ravikumar

7. Learning Sparse Nonparametric DAGs

   • AISTATS 2020, arXiv 1909.13189
   • Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing

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

   • ICLR 2020, OpenReview, arXiv 2001.02378
   • Runtian Zhai*, Chen Dan*, Di He*, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang

9. 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

10. 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*

11. 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

12. 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

Preprints

1. MSG: Margin Sensitive Group Risk

   • In Submission
   • Runtian Zhai, Chen Dan, Pradeep Ravikumar, Zico Kolter

2. 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

Thesis

Statistical Learning Under Adversarial Distribution Shift

PhD Thesis, Carnegie Mellon University

PDF (draft)

Thesis Committee: Pradeep Ravikumar (Chair), Avrim Blum, Zico Kolter, Yuting Wei, Zachary Lipton

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

Bachelor Thesis, Peking University

PDF (In Chinese)

Thesis Advisor: Prof. Liwei Wang.

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