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 | 47 | 2022 |
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 | 20 | 2020 |
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 | 19 | 2019 |
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 | 16 | 2021 |
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 | 8 | 2018 |
Stability in Online Learning: From Random Perturbations in Bandit Problems to Differential Privacy B Kim | | 2021 |