Chen Dan
12 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Keyword Collector
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Research topics
Keywords
sample complexity
(3)
conditional value at risk
(3)
empirical risk minimization
(2)
distributionally robust optimization
(2)
randomized smoothing
(2)
adversarial robustness
(1)
semi-supervised learning
(1)
statistical learning
(1)
model robustness
(1)
domain adaptation
(1)
robust classification
(1)
representation learning
(1)
pac learning
(1)
adversarial training
(1)
privacy-preserving learning
(1)
domain generalization
(1)
continuous optimization
(1)
class imbalance
(1)
subpopulation shift
(1)
algorithmic fairness
(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
Boosted CVaR Classification
NeurIPS 2021
DORO: Distributional and Outlier Robust Optimization
ICML 2021
Learning Complexity of Simulated Annealing
AISTATS 2021
Class-Weighted Classification: Trade-offs and Robust Approaches
ICML 2020
Learning Sparse Nonparametric DAGs
AISTATS 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
ICLR 2020
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
ICML 2020
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
NeurIPS 2019
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models
NeurIPS 2018