Chen Dan - RankMe

31 papers A* 8A 4B 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Distributional Adversarial Loss. AISTATS Saba Ahmadi, Siddharth Bhandari, Avrim Blum, Chen Dan, Prabhav Jain
2024	J	`jnl`	Distributional Adversarial Loss. CoRR Saba Ahmadi, Siddharth Bhandari, Avrim Blum, Chen Dan, Prabhav Jain
2023	A*	`conf`	Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar
2022	J	`jnl`	Fundamental Limits and Tradeoffs in Invariant Representation Learning. J. Mach. Learn. Res. Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
2022	—	`—`	Statistical Learning Under Adversarial Distribution Shift Chen Dan
2022	J	`jnl`	Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
2021	A*	`conf`	Boosted CVaR Classification. NeurIPS Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
2021	J	`jnl`	Boosted CVaR Classification. CoRR Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
2021	A*	`conf`	DORO: Distributional and Outlier Robust Optimization. ICML Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
2021	J	`jnl`	DORO: Distributional and Outlier Robust Optimization. CoRR Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
2021	A	`conf`	Learning Complexity of Simulated Annealing. AISTATS Avrim Blum, Chen Dan, Saeed Seddighin
2020	A*	`conf`	Class-Weighted Classification: Trade-offs and Robust Approaches. ICML Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
2020	J	`jnl`	Class-Weighted Classification: Trade-offs and Robust Approaches. CoRR Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
2020	J	`jnl`	Fundamental Limits and Tradeoffs in Invariant Representation Learning. CoRR Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
2020	J	`jnl`	Learning Complexity of Simulated Annealing. CoRR Avrim Blum, Chen Dan, Saeed Seddighin
2020	A	`conf`	Learning Sparse Nonparametric DAGs. AISTATS Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2020	A*	`conf`	MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020	J	`jnl`	MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020	J	`jnl`	Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification. CoRR Chen Dan, Yuting Wei, Pradeep Ravikumar
2020	A*	`conf`	Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification. ICML Chen Dan, Yuting Wei, Pradeep Ravikumar
2019	J	`jnl`	Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang
2019	A	`conf`	Bilu-Linial Stability, Certified Algorithms and the Independent Set Problem. ESA Haris Angelidakis, Pranjal Awasthi, Avrim Blum, Vaggos Chatziafratis, Chen Dan
2019	J	`jnl`	Learning Sparse Nonparametric DAGs. CoRR Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2019	J	`jnl`	Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation. CoRR Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar
2019	A*	`conf`	Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation. NeurIPS Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar
2018	J	`jnl`	Bilu-Linial stability, certified algorithms and the Independent Set problem. CoRR Haris Angelidakis, Pranjal Awasthi, Avrim Blum, Vaggos Chatziafratis, Chen Dan
2018	J	`jnl`	Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering. CoRR Bryon Aragam, Chen Dan, Pradeep Ravikumar, Eric P. Xing
2018	B	`conf`	Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations. MFCS Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou
2018	J	`jnl`	Sample Complexity of Nonparametric Semi-Supervised Learning. CoRR Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2018	A*	`conf`	The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models. NeurIPS Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2015	J	`jnl`	On Low Rank Approximation of Binary Matrices. CoRR Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou