I am a Statistics PhD student at Cornell Tech. My research interests are sequential decision making and non-parametric inference, with applications to personalized decision making. I am co-advised by Kengo Kato and Raaz Dwivedi.
Statistics, PhD, Cornell Tech
2021: Biostatistics, MS, University of Michigan, Ann Arbor (Advisors: Jeremy M.G. Taylor, Peisong Han)
2019: BBA, Business Administration, BS, Mathematics, Korea University
Learning counterfactual distribution via kernel nearest neighbors(Kyuseong Choi, Jacob Feitelberg, Anish Agarwal, Raaz Dwivedi)
Supervised kernel thinning(Albert Gong, Kyuseong Choi, Raaz Dwivedi), Accepted to Neurips 2024
Distributional matrix completion via nearest neighbors in the Wasserstein space(Jacob Feitelberg, Kyuseong Choi, Anish Agarwal, Raaz Dwivedi)
Robust data integration from multiple external sources for generalized linear models with binary outcomes(Kyuseong Choi, Jeremy M.G. Taylor, Peisong Han)
Biometrics, Volume 80, Issue 1, March 2024
Data integration: exploiting ratios of parameter estimates from a reduced external model(Jeremy M.G. Taylor, Kyuseong Choi, Peisong Han)
Biometrika, Volume 110, Issue 1, March 2023, Pages 119-134
Wild regenerative block bootstrap for Harris recurrent Markov Chains (with Gabriela Ciolek, Kengo Kato)
Gaussian approximation in Reproducing kernel Hilbert space, applications to kernel ridge regression (with Kengo Kato)
Contextual matrix completion (with Raaz Dwivedi)