Lam Si Tung Ho
Dalhousie University
H-index: 16
North America-Canada
Top articles of Lam Si Tung Ho
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A generalization bound of deep neural networks for dependent data | Statistics & Probability Letters | Quan Huu Do Binh T Nguyen Lam Si Tung Ho | 2024/5/1 |
Evolutionary shift detection with ensemble variable selection | BMC Ecology and Evolution | Wensha Zhang Toby Kenney Lam Si Tung Ho | 2024/1/20 |
Simple transferability estimation for regression tasks | Cuong N Nguyen Phong Tran Lam Si Tung Ho Vu Dinh Anh T Tran | 2023/7/2 | |
When can we reconstruct the ancestral state? Beyond Brownian motion | Journal of Mathematical Biology | Nhat L Vu Thanh P Nguyen Binh T Nguyen Vu Dinh Lam Si Tung Ho | 2023/6 |
Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model | arXiv preprint arXiv:2312.17480 | Wensha Zhang Lam Si Tung Ho Toby Kenney | 2023/12/29 |
SPADE4: Sparsity and delay embedding based forecasting of epidemics | Bulletin of Mathematical Biology | Esha Saha Lam Si Tung Ho Giang Tran | 2023/8 |
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States | Proceedings of the National Academy of Sciences | Estee Y Cramer Evan L Ray Velma K Lopez Johannes Bracher Andrea Brennen | 2022/4/12 |
Inferring phenotypic trait evolution on large trees with many incomplete measurements | Journal of the American Statistical Association | Gabriel Hassler Max R Tolkoff William L Allen Lam Si Tung Ho Philippe Lemey | 2022/4/3 |
Searching for minimal optimal neural networks | Statistics & Probability Letters | Lam Si Tung Ho Vu Dinh | 2022/4/1 |
When can we reconstruct the ancestral state? A unified theory | Theoretical Population Biology | Lam Si Tung Ho Vu Dinh | 2022/12/1 |
Ancestral state reconstruction with large numbers of sequences and edge-length estimation | Journal of Mathematical Biology | Lam Si Tung Ho Edward Susko | 2022/3 |
Generalization bounds for deep transfer learning using majority predictor accuracy | arXiv preprint arXiv:2209.05709 | Cuong N Nguyen Lam Si Tung Ho Vu Dinh Tal Hassner Cuong V Nguyen | 2022/9/13 |
The United States COVID-19 forecast hub dataset | Scientific data | Estee Y Cramer Yuxin Huang Yijin Wang Evan L Ray Matthew Cornell | 2022/8/1 |
Bayesian active learning with abstention feedbacks | Neurocomputing | Cuong V Nguyen Lam Si Tung Ho Huan Xu Vu Dinh Binh T Nguyen | 2022/1/30 |
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data | arXiv preprint arXiv:2108.10825 | Lam Si Tung Ho Nicholas Richardson Giang Tran | 2021/8/24 |
Efficient Bayesian inference of general Gaussian models on large phylogenetic trees | The Annals of Applied Statistics | Paul Bastide Lam Si Tung Ho Guy Baele Philippe Lemey Marc A Suchard | 2021/6 |
OASIS: an active framework for set inversion | Binh T. Nguyen Duy M. Nguyen Lam Si Tung Ho Vu Dinh | 2018 | |
Convergence of maximum likelihood supertree reconstruction | AIMS Mathematics | Vu Dinh Lam Si Ho | 2021/1 |
Posterior concentration and fast convergence rates for generalized Bayesian learning | Information Sciences | Lam Si Tung Ho Binh T Nguyen Vu Dinh Duy Nguyen | 2020/10/1 |
Consistent feature selection for neural networks via Adaptive Group Lasso | arXiv preprint arXiv:2006.00334 | Lam Si Tung Ho Vu Dinh | 2020/5/30 |
Co-Authors
