| Unifying orthogonal monte carlo methods K Choromanski, M Rowland, W Chen, A Weller International Conference on Machine Learning, 1203-1212, 2019 | 30 | 2019 |
| Subgradient-regularized multivariate convex regression at scale W Chen, R Mazumder arXiv preprint arXiv:2005.11588, 2020 | 21* | 2020 |
| Fast as chita: Neural network pruning with combinatorial optimization R Benbaki, W Chen, X Meng, H Hazimeh, N Ponomareva, Z Zhao, ... International Conference on Machine Learning, 2031-2049, 2023 | 10* | 2023 |
| A new computational framework for log-concave density estimation W Chen, R Mazumder, RJ Samworth arXiv preprint arXiv:2105.11387, 2021 | 9 | 2021 |
| Knowledge graph guided simultaneous forecasting and network learning for multivariate financial time series S Ibrahim, W Chen, Y Zhu, PY Chen, Y Zhang, R Mazumder Proceedings of the Third ACM International Conference on AI in Finance, 480-488, 2022 | 6 | 2022 |
| Comet: Learning cardinality constrained mixture of experts with trees and local search S Ibrahim, W Chen, H Hazimeh, N Ponomareva, Z Zhao, R Mazumder Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Dynamic covariance estimation under structural assumptions via a joint optimization approach W Chen, R Benbaki, Y Zhu, R Mazumder Proceedings of the Fourth ACM International Conference on AI in Finance, 445-453, 2023 | 2 | 2023 |
| Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives K Behdin, W Chen, R Mazumder arXiv preprint arXiv:2307.09366, 2023 | 1 | 2023 |
| Knowledge graphs in machine learning decision optimization Y Zhu, Y Zhang, PY Chen, R Mazumder, S Ibrahim, W Chen US Patent App. 17/183,870, 2022 | 1 | 2022 |
| Probabilistic framework for modeling event shocks to financial time series Y Zhu, W Chen, Y Zhang, T Gao, J Li Proceedings of the Second ACM International Conference on AI in Finance, 1-8, 2021 | 1 | 2021 |
| FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning X Meng, W Chen, R Benbaki, R Mazumder International Conference on Artificial Intelligence and Statistics, 4384-4392, 2024 | | 2024 |
| MOESART: An Effective Sampling-based Router for Sparse Mixture of Experts S Ibrahim, W Chen, H Hazimeh, N Ponomareva, R Mazumder | | 2023 |
| Optimization Methods for Machine Learning under Structural Constraints W Chen Massachusetts Institute of Technology, 2023 | | 2023 |
| Interpretable Robust Recommender Systems with Side Information W Chen, Z Huang, JCN Liang, Z Xu | | |
Rahul MazumderMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
