Hongseok Namkoong
Columbia University in the City of New York
H-index: 17
North America-United States
Top articles of Hongseok Namkoong
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
On the need for a language describing distribution shifts: Illustrations on tabular datasets | Advances in Neural Information Processing Systems | Jiashuo Liu Tianyu Wang Peng Cui Hongseok Namkoong | 2024/2/13 |
Adaptive experimentation at scale: Bayesian algorithms for flexible batches | arXiv preprint arXiv:2303.11582 | Ethan Che Hongseok Namkoong | 2023/3/21 |
Diagnosing model performance under distribution shift | arXiv preprint arXiv:2303.02011 | Tiffany Tianhui Cai Hongseok Namkoong Steve Yadlowsky | 2023/3/3 |
Distributionally robust losses for latent covariate mixtures | Operations Research | John Duchi Tatsunori Hashimoto Hongseok Namkoong | 2023/3 |
Planning Contextual Adaptive Experiments with Model Predictive Control | Ethan Che Jimmy Wang Hongseok Namkoong | 2023/12/22 | |
An Operational Perspective to Fairness Interventions: Where and How to Intervene | arXiv preprint arXiv:2302.01574 | Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu | 2023/2/3 |
Dynamic Control of Queuing Networks via Differentiable Discrete-Event Simulation | Ethan Che Hongseok Namkoong Jing Dong | 2023/9/17 | |
Modeling interference using experiment roll-out | arXiv preprint arXiv:2305.10728 | Ariel Boyarsky Hongseok Namkoong Jean Pouget-Abadie | 2023/5/18 |
Bounds on the conditional and average treatment effect with unobserved confounding factors | Annals of statistics | Steve Yadlowsky Hongseok Namkoong Sanjay Basu John Duchi Lu Tian | 2022/10 |
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time | Mitchell Wortsman Gabriel Ilharco Samir Ya Gadre Rebecca Roelofs Raphael Gontijo-Lopes | 2022/6/28 | |
Robust fine-tuning of zero-shot models | Mitchell Wortsman* Gabriel Ilharco* Jong Wook Kim Mike Li Simon Kornblith | 2022 | |
Minimax optimal estimation of stability under distribution shift | arXiv preprint arXiv:2212.06338 | Hongseok Namkoong Yuanzhe Ma Peter W Glynn | 2022/12/13 |
Learning models with uniform performance via distributionally robust optimization | Annals of Statistics | John Duchi Hongseok Namkoong | 2021/8 |
Evaluating model performance under worst-case subpopulations | Advances in Neural Information Processing Systems | Mike Li Hongseok Namkoong Shangzhou Xia | 2021/12/6 |
Statistics of robust optimization: A generalized empirical likelihood approach | Mathematics of Operations Research | John Duchi Peter Glynn Hongseok Namkoong | 2021/8 |
Distilled thompson sampling: Practical and efficient thompson sampling via imitation learning | arXiv preprint arXiv:2011.14266 | Hongseok Namkoong Samuel Daulton Eytan Bakshy | 2020/11/29 |
Lecture 4: Distributional Robustness | Hongseok Namkoong | 2020/10/5 | |
Assessing External Validity Over Worst-case Subpopulations | Sookyo Jeong Hongseok Namkoong | 2020/7/15 | |
Off-policy policy evaluation for sequential decisions under unobserved confounding | Advances in Neural Information Processing Systems | Hongseok Namkoong Ramtin Keramati Steve Yadlowsky Emma Brunskill | 2020 |
Co-Authors
