Chen Dan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Sample Complexity

Binary Matrices

Low Rank Approximation

Top Venues

Publications

Saba Ahmadi, Siddharth Bhandari, Avrim Blum, Chen Dan, Prabhav Jain
Distributional Adversarial Loss. CoRR (2024)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR (2023)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR (2022)
Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
Fundamental Limits and Tradeoffs in Invariant Representation Learning. J. Mach. Learn. Res. 23 (2022)
Avrim Blum, Chen Dan, Saeed Seddighin
Learning Complexity of Simulated Annealing. AISTATS (2021)
Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
Boosted CVaR Classification. NeurIPS (2021)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
DORO: Distributional and Outlier Robust Optimization. ICML (2021)
Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
Boosted CVaR Classification. CoRR (2021)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
DORO: Distributional and Outlier Robust Optimization. CoRR (2021)
Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
Class-Weighted Classification: Trade-offs and Robust Approaches. CoRR (2020)
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR (2020)
Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
Class-Weighted Classification: Trade-offs and Robust Approaches. ICML (2020)
Chen Dan, Yuting Wei, Pradeep Ravikumar
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification. ICML (2020)
Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
Fundamental Limits and Tradeoffs in Invariant Representation Learning. CoRR (2020)
Chen Dan, Yuting Wei, Pradeep Ravikumar
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification. CoRR (2020)
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
Learning Sparse Nonparametric DAGs. AISTATS (2020)
Avrim Blum, Chen Dan, Saeed Seddighin
Learning Complexity of Simulated Annealing. CoRR (2020)
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR (2020)
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
Learning Sparse Nonparametric DAGs. CoRR (2019)
Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang
Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR (2019)
Haris Angelidakis, Pranjal Awasthi, Avrim Blum, Vaggos Chatziafratis, Chen Dan
Bilu-Linial Stability, Certified Algorithms and the Independent Set Problem. ESA (2019)
Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar
Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation. CoRR (2019)
Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation. NeurIPS (2019)
Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models. NeurIPS (2018)
Bryon Aragam, Chen Dan, Pradeep Ravikumar, Eric P. Xing
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering. CoRR (2018)
Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
Sample Complexity of Nonparametric Semi-Supervised Learning. CoRR (2018)
Haris Angelidakis, Pranjal Awasthi, Avrim Blum, Vaggos Chatziafratis, Chen Dan
Bilu-Linial stability, certified algorithms and the Independent Set problem. CoRR (2018)
Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou
Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations. MFCS (2018)
Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou
On Low Rank Approximation of Binary Matrices. CoRR (2015)