| Rate of Change Analysis for Interestingness Measures N Sudarsanam, N Kumar, A Sharma, B Ravindran Knowledge and Information Systems, 1-20, 2019 | 10 | 2019 |
| Generative Sequential Stochastic Model for Marked Point Processes A Sharma, A Ghosh, M Fiterau Time Series Workshop, ICML 2019, 2019 | 6 | 2019 |
| On Learning Prediction-Focused Mixtures A Sharma, C Zeng, S Narayanan, S Parbhoo, F Doshi-Velez arXiv preprint arXiv:2110.13221, 2021 | 4* | 2021 |
| Reinforcement learning with spiking coagents S Aenugu, S Abhishek, Y Sasikiran, H Hananel, PS Thomas, R Kozma arXiv preprint arXiv:1910.06489, 2019 | 4 | 2019 |
| A Joint Learning Approach for Semi-supervised Neural Topic Modeling J Chiu, R Mittal, N Tumma, A Sharma, F Doshi-Velez arXiv preprint arXiv:2204.03208, 2022 | 3 | 2022 |
| Robust Decision-Focused Learning for Reward Transfer A Sharma, S Parbhoo, O Gottesman, F Doshi-Velez arXiv preprint arXiv:2304.03365, 2023 | 1 | 2023 |
| Identifying data-driven subtypes of major depressive disorder with electronic health records A Sharma, PF Verhaak, TH McCoy, RH Perlis, F Doshi-Velez Journal of Affective Disorders, 2024 | | 2024 |
| Multimodal N-of-1 trials: A Novel Personalized Healthcare Design J Fu, S Liu, S Du, S Ruan, X Guo, W Pan, A Sharma, S Konigorski arXiv preprint arXiv:2302.07547, 2023 | | 2023 |
| Travel-time prediction using neural-network-based mixture models A Sharma, J Zhang, D Nikovski, F Doshi-Velez Procedia Computer Science 220, 1033-1038, 2023 | | 2023 |
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
