| On the existence of universal lottery tickets R Burkholz, N Laha, R Mukherjee, A Gotovos ICLR, 2021 | 30 | 2021 |
| Bi-s∗-concave distributions N Laha, Z Miao, JA Wellner Journal of Statistical Planning and Inference 215, 127-157, 2021 | 7* | 2021 |
| A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD) G Hahn, SM Lutz, N Laha, MH Cho, EK Silverman, C Lange Statistics and Computing 31, 1-11, 2021 | 7 | 2021 |
| Semi-supervised off-policy reinforcement learning and value estimation for dynamic treatment regimes A Sonabend-W, N Laha, AN Ananthakrishnan, T Cai, R Mukherjee Journal of Machine Learning Research 24 (323), 1-86, 2023 | 4* | 2023 |
| Adaptive estimation in symmetric location model under log-concavity constraint N Laha Electronic Journal of Statistics 15 (1), 2939-3014, 2021 | 4 | 2021 |
| Improved inference for vaccine-induced immune responses via shape-constrained methods N Laha, Z Moodie, Y Huang, A Luedtke Electronic journal of statistics 16 (2), 5852, 2022 | 3 | 2022 |
| A framework to efficiently smooth L1 penalties for linear regression G Hahn, SM Lutz, N Laha, C Lange bioRxiv, 2020.09. 17.301788, 2020 | 3 | 2020 |
| On statistical inference with high-dimensional sparse CCA N Laha, N Huey, B Coull, R Mukherjee Information and Inference: A Journal of the IMA 12 (4), 2818-2850, 2023 | 2 | 2023 |
| On support recovery with sparse cca: Information theoretic and computational limits N Laha, R Mukherjee IEEE transactions on information theory 69 (3), 1695-1738, 2022 | 2 | 2022 |
| Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher Consistent Surrogate Loss N Laha, A Sonabend-W, R Mukherjee, T Cai arXiv preprint arXiv:2111.02826, 2021 | 2 | 2021 |
| Location estimation for symmetric log-concave densities N Laha arXiv preprint arXiv:1911.06225, 2019 | 2 | 2019 |
| Semi-Supervised Learning for Doubly Robust Offline Policy Evaluation A Sonabend-W, N Laha, R Mukherjee, T Cai Offline Reinforcement Learning Workshop at Neural Information Processing …, 2020 | 1 | 2020 |
| False discovery rate control: Moving beyond the Benjamini-Hochberg method S Koner, N De Sarkar, N Laha bioRxiv, 2024.01. 13.575531, 2024 | | 2024 |
| Revisiting the two-sample location shift model with a log-concavity assumption R Saha, P Das, N Laha arXiv preprint arXiv:2311.18277, 2023 | | 2023 |
| A fast and efficient smoothing approach to LASSO regression and an application to a genome-wide association study for COPD G Hahn, SM Lutz, N Laha, C Lange GENETIC EPIDEMIOLOGY 44 (5), 487-487, 2020 | | 2020 |
| Estimation and testing under shape constraints N Laha University of Washington, Seattle PhD Thesis, 2019 | | 2019 |
Aaron Sonabend WHarvard UniversityVerified email at g.harvard.edu
