Chen Dan
12 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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Keyword Collector
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Conferences
AISTATS (3)
ICML (3)
NIPS (3)
ICLR (2)
JMLR (1)
Top co-authors
Keywords
conditional value at risk
(3)
sample complexity
(2)
statistical learning
(1)
representation learning
(1)
semi-supervised learning
(1)
adversarial robustness
(1)
domain generalization
(1)
class imbalance
(1)
domain adaptation
(1)
model robustness
(1)
algorithmic fairness
(1)
subpopulation shift
(1)
continuous optimization
(1)
privacy-preserving learning
(1)
stochastic optimization
(1)
empirical risk minimization
(1)
low-rank approximation
(1)
outlier detection
(1)
multiclass classification
(1)
wasserstein distance
(1)
Papers
Distributional Adversarial Loss
AISTATS 2025
Understanding Why Generalized Reweighting Does Not Improve Over ERM
ICLR 2023
Fundamental Limits and Tradeoffs in Invariant Representation Learning
JMLR 2022
DORO: Distributional and Outlier Robust Optimization
ICML 2021
Boosted CVaR Classification
NIPS 2021
Learning Complexity of Simulated Annealing
AISTATS 2021
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
ICLR 2020
Learning Sparse Nonparametric DAGs
AISTATS 2020
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
ICML 2020
Class-Weighted Classification: Trade-offs and Robust Approaches
ICML 2020
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
NIPS 2019
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models
NIPS 2018