Dan, Chen

1. Learning Sparse Nonparametric DAGs
   2019/09/29 by Xun Zheng, Zheng, Xun, Dan Chen +7 · 26 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI)
2. MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
   2020/01/08 by Runtian Zhai, Zhai, Runtian, Dan Chen +13 · 20 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning
3. Understanding Why Generalized Reweighting Does Not Improve Over ERM
   2022/01/28 by Runtian Zhai, Dan Chen, Zhai, Runtian +5 · 6 citations
   Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
4. Fundamental Limits and Tradeoffs in Invariant Representation Learning
   2020/12/19 by Han Zhao, Dan Chen, Zhao, Han +9 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
5. DORO: Distributional and Outlier Robust Optimization
   2021/06/11 by Runtian Zhai, Zhai, Runtian, Dan Chen +5 · 5 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
6. Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
   2024/05/16 by Divij Gupta, Gupta, Divij, Anubhav Bhatti +11 · 9 citations
   Decision Sciences · #Stock Market Forecasting Methods #Forecasting Techniques and Applications
7. Class-Weighted Classification: Trade-offs and Robust Approaches
   2020/05/26 by Ziyu Xu, Xu, Ziyu, Dan Chen +5 · 3 citations
   Computer Science · Decision Sciences · Mathematics · #Imbalanced Data Classification Techniques #Advanced Statistical Process Monitoring #Advanced Statistical Methods and Models
8. Learning Complexity of Simulated Annealing
   2020/03/06 by Avrim Blum, Dan Chen, Blum, Avrim +3 · 3 citations
   Computer Science · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems
9. Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
   2018/02/12 by Aragam, Bryon, Dan, Chen, Xing, Eric P. +1 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
10. Adversarially Robust Generalization Just Requires More Unlabeled Data
    2019/06/03 by Zhai, Runtian, Cai, Tianle, He, Di +4 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations
    2015/11/05 by Dan, Chen, Hansen, Kristoffer Arnsfelt, Jiang, He +2 · 1 citation
    #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
12. Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation
    2019/10/30 by Dan Chen, Hong Wang, Dan, Chen +7 · 1 citation
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques