Hongseok Namkoong
Hongseok Namkoong
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Certifying Some Distributional Robustness with Principled Adversarial Training
A Sinha, H Namkoong, J Duchi
International Conference on Learning Representations, 2018
334*2018
Variance-based Regularization with Convex Objectives.
JC Duchi, H Namkoong
J. Mach. Learn. Res. 20, 68:1-68:55, 2019
97*2019
Generalizing to unseen domains via adversarial data augmentation
R Volpi, H Namkoong, O Sener, JC Duchi, V Murino, S Savarese
Advances in neural information processing systems, 5334-5344, 2018
842018
Fairness without demographics in repeated loss minimization
TB Hashimoto, M Srivastava, H Namkoong, P Liang
arXiv preprint arXiv:1806.08010, 2018
832018
Stochastic gradient methods for distributionally robust optimization with f-divergences
H Namkoong, JC Duchi
Advances in neural information processing systems, 2208-2216, 2016
772016
Statistics of robust optimization: A generalized empirical likelihood approach
J Duchi, P Glynn, H Namkoong
arXiv preprint arXiv:1610.03425, 2016
722016
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
M O'Kelly, A Sinha, H Namkoong, J Duchi, R Tedrake
Advances in Neural Information Processing Systems, 2018
352018
Learning models with uniform performance via distributionally robust optimization
J Duchi, H Namkoong
arXiv preprint arXiv:1810.08750, 2018
262018
Adaptive sampling probabilities for non-smooth optimization
H Namkoong, A Sinha, S Yadlowsky, JC Duchi
International Conference on Machine Learning, 2574-2583, 2017
152017
Distributionally robust losses against mixture covariate shifts
JC Duchi, T Hashimoto, H Namkoong
Under review, 2019
122019
Bounds on the conditional and average treatment effect in the presence of unobserved confounders
S Yadlowsky, H Namkoong, S Basu, J Duchi, L Tian
arXiv preprint arXiv:1808.09521, 2018
8*2018
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
H Namkoong, R Keramati, S Yadlowsky, E Brunskill
arXiv preprint arXiv:2003.05623, 2020
12020
Distributionally Robust Losses for Latent Covariate Mixtures
J Duchi, T Hashimoto, H Namkoong
arXiv preprint arXiv:2007.13982, 2020
2020
Robust causal inference under covariate shift via worst-case subpopulation treatment effects
S Jeong, H Namkoong
Conference on Learning Theory, 2079-2084, 2020
2020
Reliable Machine Learning Via Distributional Robustness
H Namkoong
Stanford University, 2019
2019
In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation
M O'Kelly, A Sinha, J Norden, H Namkoong
arXiv preprint arXiv:1812.00293, 2018
2018
Statistical Estimation of Large Deviation Rates for iid Sub-exponential Random Walks
H Namkoong, JC Duchi, PW Glynn
Proofs for empirical likelihood with general f-divergences
H Namkoong, JC Duchi, PW Glynn
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Articles 1–18