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Baekjin Kim
Baekjin Kim
Machine Learning Engineer, Statistics PhD, University of Michigan
Verified email at umich.edu - Homepage
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TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation
A El-Kishky, T Markovich, S Park, C Verma, B Kim, R Eskander, Y Malkov, ...
KDD 2022. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
482022
Randomized Exploration for Non-Stationary Stochastic Linear Bandits
B Kim, A Tewari
Proceedings of the 36th Annual Conference on Uncertainty in Artificial …, 2020
21*2020
On the Equivalence between Online and Private Learnability beyond Binary Classification
YH Jung, B Kim, A Tewari
Advances in Neural Information Processing Systems 33 (NeurIPS 2020 Spotlight), 2020
202020
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
B Kim, A Tewari
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2691-2700, 2019
192019
Weighted Gaussian Process Bandits for Non-stationary Environments
Y Deng, X Zhou, B Kim, A Tewari, A Gupta, N Shroff
Proceedings of the 25th International Conference on Artificial Intelligence …, 2021
152021
Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data
B Kim, D Yu, JH Won
Applied Intelligence 48, 1933-1952, 2018
72018
Stability in Online Learning: From Random Perturbations in Bandit Problems to Differential Privacy
B Kim
2021
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