| Bootstrap estimators for the tail-index and for the count statistics of graphex processes Z Naulet, DM Roy, E Sharma, V Veitch | 10 | 2021 |
| Simultaneous linear connectivity of neural networks modulo permutation E Sharma, D Kwok, T Denton, DM Roy, D Rolnick, GK Dziugaite Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 3 | 2024 |
| An estimator for the tail-index of graphex processes Z Naulet, E Sharma, V Veitch, DM Roy Preprint. Available at https://arxiv. org/abs/1712.01745, 2017 | 2 | 2017 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization V Veitch, E Sharma, Z Naulet, DM Roy arXiv preprint arXiv:1712.02311, 2017 | 1 | 2017 |
| The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse E Sharma, DM Roy, GK Dziugaite arXiv preprint arXiv:2410.12766, 2024 | | 2024 |
| Approximations in Probabilistic Programs E Sharma, DM Roy arXiv preprint arXiv:1912.06791, 2019 | | 2019 |
| Modeling trajectories of mental health: challenges and opportunities L Erdman, E Sharma, E Unternahrer, SH Dass, K ODonnell, S Mostafavi, ... arXiv preprint arXiv:1612.01055, 2016 | | 2016 |
| Winning Tickets from Random Initialization: Aligning Masks for Sparse Training R Jain, M Adnan, E Sharma, Y Ioannou UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 0 | | |
| Exchangeable Modelling of Relational Data: Checking Sparsity, Data Splitting, and Sparse Exchangeable Poisson Matrix Factorization V Veitch, E Sharma, Z Naulet, DM Roy | | |
Daniel M. RoyResearch Director, Vector Institute; Prof., U. Toronto (Statistics, CS)在 utoronto.ca 的电子邮件经过验证
