Dan, Chen

12 publications

AISTATS 2025 Distributional Adversarial Loss Saba Ahmadi, Siddharth Bhandari, Avrim Blum, Chen Dan, Prabhav Jain

ICLR 2023 Understanding Why Generalized Reweighting Does Not Improve over ERM Runtian Zhai, Chen Dan, J Zico Kolter, Pradeep Kumar Ravikumar

JMLR 2022 Fundamental Limits and Tradeoffs in Invariant Representation Learning Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar

AISTATS 2021 Learning Complexity of Simulated Annealing Avrim Blum, Chen Dan, Saeed Seddighin

NeurIPS 2021 Boosted CVaR Classification Runtian Zhai, Chen Dan, Arun Suggala, J. Zico Kolter, Pradeep K. Ravikumar

ICML 2021 DORO: Distributional and Outlier Robust Optimization Runtian Zhai, Chen Dan, Zico Kolter, Pradeep Ravikumar

ICML 2020 Class-Weighted Classification: Trade-Offs and Robust Approaches Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar

AISTATS 2020 Learning Sparse Nonparametric DAGs Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric Xing

ICLR 2020 MACER: Attack-Free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang

ICML 2020 Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification Chen Dan, Yuting Wei, Pradeep Ravikumar

NeurIPS 2019 Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep K Ravikumar

NeurIPS 2018 The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models Chen Dan, Liu Leqi, Bryon Aragam, Pradeep K Ravikumar, Eric P Xing