| Hawkes processes for events in social media MA Rizoiu, Y Lee, S Mishra, L Xie Frontiers of Multimedia Research, 191-218, 2017 | 205* | 2017 |
| Hawkes processes with stochastic excitations Y Lee, KW Lim, CS Ong International Conference on Machine Learning, 79-88, 2016 | 46 | 2016 |
| Predicting short-term public transport demand via inhomogeneous Poisson processes AK Menon, Y Lee Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 29 | 2017 |
| Bayesian federated estimation of causal effects from observational data TV Vo, Y Lee, TN Hoang, TY Leong Uncertainty in Artificial Intelligence, 2024-2034, 2022 | 23* | 2022 |
| Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship AJ Sommer, E Leray, Y Lee, MAC Bind Statistics in Medicine 40 (6), 1321-1335, 2021 | 15 | 2021 |
| An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects TV Vo, A Bhattacharyya, Y Lee, TY Leong Advances in Neural Information Processing Systems 35, 24459-24473, 2022 | 13 | 2022 |
| Proper Loss Functions for Nonlinear Hawkes Processes A Menon, Y Lee Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 9 | 2018 |
| Simulation and calibration of a fully Bayesian marked multidimensional Hawkes process with dissimilar decays KW Lim, Y Lee, L Hanlen, H Zhao Asian Conference on Machine Learning, 238-253, 2016 | 6 | 2016 |
| Optimal martingale measures for defaultable assets Y Lee, T Rheinländer Stochastic Processes and their Applications 122 (8), 2870-2884, 2012 | 5 | 2012 |
| Variational Inference for Gaussian Processes with Panel Count Data H Ding, Y Lee, I Sato, M Sugiyama | 4 | 2018 |
| Exact simulation of extrinsic stress-release processes Y Lee, PJ Laub, T Taimre, H Zhao, J Zhuang Journal of Applied Probability 59 (1), 105-117, 2022 | 2 | 2022 |
| Z-Transforms and its Inference on Partially Observable Point Processes. Y Lee, TV Vo, KW Lim, H Soh IJCAI, 2369-2375, 2018 | 2 | 2018 |
| Global statistical models of protein coevolution reveal higher-order sectors beyond those obtained from structure alone C Shiau, H Wang, Y Lee, S Ovchinnikov bioRxiv 2022.05.27.493723, 2022 | 1 | 2022 |
| On the cumulant transforms for Hawkes processes Y Lee, T Rheinländer Journal of Applied Probability 60 (2), 528-541, 2023 | | 2023 |
| Bayesian causal inference for count potential outcomes Y Lee, WP Bergsma, MAC Bind arXiv preprint arXiv:2008.03271, 2020 | | 2020 |
| Generative Parameter Sampler For Scalable Uncertainty Quantification M Shin, Y Lee, JS Liu arXiv preprint arXiv:1905.12440, 2019 | | 2019 |
| The minimal entropy martingale measure for exponential Markov chains Y Lee, T Rheinländer Journal of Applied Probability 50 (2), 344-358, 2013 | | 2013 |
| The Minimal Entropy Martingale Measure for Marked Point Processes Y Lee The Institute of Statistical Mathematics Report, 2008 | | 2008 |
Kar Wai LimHyundai Motor Group Innovation Center in SingaporeVahvistettu sähköpostiosoite verkkotunnuksessa hmgics.com
