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Namkoong, Hongseok

  1. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
    2022/03/10 by Mitchell Wortsman, Wortsman, Mitchell, Gabriel Ilharco +19 · 3 voices · 176 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #cs.CL #cs.CV #cs.LG
  2. Certifying Some Distributional Robustness with Principled Adversarial\n Training
    2017/10/29 by Aman Sinha, Sinha, Aman, Hongseok Namkoong +5 · 84 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  3. Robust fine-tuning of zero-shot models
    2021/09/04 by Mitchell Wortsman, Wortsman, Mitchell, Gabriel Ilharco +19 · 68 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Advanced Neural Network Applications
  4. Generalizing to Unseen Domains via Adversarial Data Augmentation
    2018/05/30 by Riccardo Volpi, Volpi, Riccardo, Hongseok Namkoong +9 · 32 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  5. Learning Models with Uniform Performance via Distributionally Robust\n Optimization
    2018/10/19 by John C. Duchi, Duchi, John, Hongseok Namkoong +1 · 28 citations
    Computer Science · Mathematics · Social Sciences · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Insurance, Mortality, Demography, Risk Management #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  6. Fairness Without Demographics in Repeated Loss Minimization
    2018/06/20 by Tatsunori Hashimoto, Hashimoto, Tatsunori B., Megha Srivastava +5 · 27 citations
    Social Sciences · Health Professions · Mathematics · #Retirement, Disability, and Employment #Global Health Care Issues #Advanced Causal Inference Techniques
  7. Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach
    2016/10/11 by Duchi, John, Glynn, Peter, Namkoong, Hongseok · 11 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  8. Variance-based regularization with convex objectives
    2016/10/08 by John C. Duchi, Duchi, John, Hongseok Namkoong +1 · 9 citations
    Decision Sciences · Mathematics · #Risk and Portfolio Optimization #Statistical Methods and Inference #Advanced Bandit Algorithms Research
  9. LLM Generated Persona is a Promise with a Catch
    2025/03/18 by Li, Ang, Chen, Haozhe, Namkoong, Hongseok +1 · 29 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  10. Bounds on the conditional and average treatment effect with unobserved confounding factors
    2018/08/28 by Yadlowsky, Steve, Namkoong, Hongseok, Basu, Sanjay +2 · 6 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
  11. Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
    2018/10/31 by O'Kelly, Matthew, Sinha, Aman, Namkoong, Hongseok +2 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  12. PersonalLLM: Tailoring LLMs to Individual Preferences
    2024/09/30 by Thomas P. Zollo, Zollo, Thomas P., Andrew Wei Tung Siah +7 · 10 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
  13. Distributionally Robust Losses for Latent Covariate Mixtures
    2020/07/28 by Duchi, John, Hashimoto, Tatsunori, Namkoong, Hongseok · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts
    2024/08/06 by Nai-Xuan Ye, Ye, Naimeng, Hongseok Namkoong +1 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Semantic Web and Ontologies
  15. Diagnosing Model Performance Under Distribution Shift
    2023/03/03 by Cai, Tiffany Tianhui, Namkoong, Hongseok, Yadlowsky, Steve · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Rethinking Distribution Shifts: Empirical Analysis and Inductive Modeling for Tabular Data
    2023/07/11 by Wang, Tianyu, Liu, Jiashuo, Cui, Peng +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
    2020/03/12 by Namkoong, Hongseok, Keramati, Ramtin, Yadlowsky, Steve +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning
    2025/09/16 by Hu L, Hu, Liang, Jianpeng Jiao +38 · 9 citations
    Decision Sciences · #Stock Market Forecasting Methods
  19. C-Learner: Constrained Learning for Causal Inference
    2024/05/15 by Cai, Tiffany Tianhui, Fonseca, Yuri, Hou, Kaiwen +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. DRO: A Python Library for Distributionally Robust Optimization in Machine Learning
    2025/05/29 by Liu, Jiashuo, Wang, Tianyu, Lam, Henry +2 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Numerical Analysis (math.NA)
  21. Differentiable Discrete Event Simulation for Queuing Network Control
    2024/09/05 by Ethan Che, Jing Dong, Che, Ethan +3 · 1 citation
    Computer Science · Decision Sciences · #Cloud Computing and Resource Management #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Simulation Techniques and Applications #Software System Performance and Reliability #Systems and Control (eess.SY) #electronic engineering #information engineering
  22. LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts
    2024/10/09 by Yibo Zeng, Zeng, Yibo, Jiashuo Liu +5 · 1 citation
    Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Computational Physics and Python Applications #Real-time simulation and control systems
  23. QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
    2024/10/08 by H.F. Chen, Chen, Haozhe, Ang Li +9 · 1 citation
    Computer Science · #Software-Defined Networks and 5G #Software System Performance and Reliability #Cloud Computing and Resource Management
  24. Active Exploration via Autoregressive Generation of Missing Data
    2024/05/29 by Hongseok Namkoong, Cai, Tiffany Tianhui, Daniel Russo +4 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech and Audio Processing
  25. Contextual Thompson Sampling via Generation of Missing Data
    2025/02/10 by Zhang, Kelly W., Cai, Tiffany Tianhui, Namkoong, Hongseok +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)