Chen Dan
Chen Dan
PhD Student, Computer Science Department, Carnegie Mellon University
Verified email at - Homepage
Cited by
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Adversarially robust generalization just requires more unlabeled data
R Zhai, T Cai, D He, C Dan, K He, J Hopcroft, L Wang
arXiv preprint arXiv:1906.00555, 2019
Learning sparse nonparametric dags
X Zheng, C Dan, B Aragam, P Ravikumar, E Xing
International Conference on Artificial Intelligence and Statistics, 3414-3425, 2020
Macer: Attack-free and scalable robust training via maximizing certified radius
R Zhai, C Dan, D He, H Zhang, B Gong, P Ravikumar, CJ Hsieh, L Wang
2020 International Conference on Learning Representations (ICLR 2020), 2020
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
C Dan, Y Wei, P Ravikumar
arXiv preprint arXiv:2006.16384, 2020
Identifiability of nonparametric mixture models and bayes optimal clustering
B Aragam, C Dan, P Ravikumar, EP Xing
Annals of Statistics 2019, 2018
Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations
C Dan, KA Hansen, H Jiang, L Wang, Y Zhou
43rd International Symposium on Mathematical Foundations of Computer …, 2015
Learning Complexity of Simulated Annealing
A Blum, C Dan, S Seddighin, 2020
Bilu-Linial stability, certified algorithms and the Independent Set problem
H Angelidakis, P Awasthi, A Blum, V Chatziafratis, C Dan
27th Annual European Symposium on Algorithms (ESA 2019), 2018
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
C Dan, H Wang, H Zhang, Y Zhou, PK Ravikumar
Advances in Neural Information Processing Systems, 2541-2552, 2019
DORO: Distributional and Outlier Robust Optimization
R Zhai, C Dan, JZ Kolter, P Ravikumar
arXiv preprint arXiv:2106.06142, 2021
Class-Weighted Classification: Trade-offs and Robust Approaches
Z Xu, C Dan, J Khim, P Ravikumar
arXiv preprint arXiv:2005.12914, 2020
Fundamental Limits and Tradeoffs in Invariant Representation Learning
H Zhao, C Dan, B Aragam, TS Jaakkola, GJ Gordon, P Ravikumar
arXiv preprint arXiv:2012.10713, 2020
The sample complexity of semi-supervised learning with nonparametric mixture models
C Dan, L Leqi, B Aragam, PK Ravikumar, EP Xing
Advances in Neural Information Processing Systems, 9321-9332, 2018
Boosted CVaR Classification
R Zhai, C Dan, A Suggala, JZ Kolter, P Ravikumar
Advances in Neural Information Processing Systems 34, 2021
Statistical Learning under Adversarial Distribution Shift
C Dan
University of Pennsylvania, 2021
Sample Complexity of Nonparametric Semi-Supervised Learning
C Dan, L Leqi, B Aragam, P Ravikumar, EP Xing
arXiv preprint arXiv:1809.03073, 2018
Learning Sparse Nonparametric DAGs Download PDF
X Zheng, C Dan, B Aragam, P Ravikumar, E Xing
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