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Chen Dan
Chen Dan
PhD Student, Computer Science Department, Carnegie Mellon University
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Learning sparse nonparametric dags
X Zheng, C Dan, B Aragam, P Ravikumar, E Xing
International Conference on Artificial Intelligence and Statistics, 3414-3425, 2020
1082020
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
1012019
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
902020
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
C Dan, Y Wei, P Ravikumar
arXiv preprint arXiv:2006.16384, 2020
232020
Identifiability of nonparametric mixture models and bayes optimal clustering
B Aragam, C Dan, P Ravikumar, EP Xing
Annals of Statistics 2019, 2018
182018
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
172015
Doro: Distributional and outlier robust optimization
R Zhai, C Dan, Z Kolter, P Ravikumar
International Conference on Machine Learning, 12345-12355, 2021
152021
Learning Complexity of Simulated Annealing
A Blum, C Dan, S Seddighin
https://arxiv.org/abs/2003.02981v2, 2020
152020
Class-Weighted Classification: Trade-offs and Robust Approaches
Z Xu, C Dan, J Khim, P Ravikumar
arXiv preprint arXiv:2005.12914, 2020
142020
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
122019
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
72020
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
72018
Boosted CVaR Classification
R Zhai, C Dan, A Suggala, JZ Kolter, P Ravikumar
Advances in Neural Information Processing Systems 34, 21860-21871, 2021
42021
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
42018
Understanding Why Generalized Reweighting Does Not Improve Over ERM
R Zhai, C Dan, Z Kolter, P Ravikumar
arXiv preprint arXiv:2201.12293, 2022
32022
Optimal analysis of subset-selection based ℓp low-rank approximation
C Dan, H Wang, H Zhang, Y Zhou, P Ravikumar
Proceedings of the 33rd International Conference on Neural Information …, 2019
12019
Statistical Learning under Adversarial Distribution Shift
C Dan
Carnegie Mellon University, 2021
2021
Understanding Overfitting in Reweighting Algorithms for Worst-group Performance
R Zhai, C Dan, JZ Kolter, PK Ravikumar
2021
Sample Complexity of Nonparametric Semi-Supervised Learning
C Dan, L Leqi, B Aragam, P Ravikumar, EP Xing
arXiv preprint arXiv:1809.03073, 2018
2018
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