Embedded Files
De-biased sparse canonical correlation for identifying cancer-related trans-regulated genes (2024)
N Huey, D Dutta, N Laha
False discovery rate control: Moving beyond the Benjamini-Hochberg method (2024)
N Laha, S Koner, N De Sarkar
Revisiting the two-sample location shift model with a log-concavity assumption (2023)
R Saha, P Das, N Laha, Journal of Statistical Planning and Inference, 238, 106272
Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher Consistent Surrogate Loss (2024)
N Laha, A Sonabend-W, R Mukherjee, T Cai, the Annals of Statistics 52 (2), 679-70
Semi-Supervised Off Policy Reinforcement Learning (2023)
A Sonabend-W, N Laha, AN Ananthakrishnan, T Cai, R Mukherjee, Journal of Machine Learning Research 24 (323), 1-86
On Statistical Inference with High Dimensional Sparse CCA (2023)
N Laha, N Huey, B Coull, R Mukherjee, Information and Inference 12 (4), 2818-2850
On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits (2023)
N Laha, R Mukherjee, IEEE Transactions on Information Theory
Improved inference for vaccine-induced immune responses via shape-constrained methods (2022)
N Laha, Z Moodie, Y Huang, A Luedtke, Electronic Journal of Statistics 16 (2), 5852-5933
Adaptive estimation in symmetric location model under log-concavity constraint (2021)
N Laha, Electronic Journal of Statistics 15 (1), 2939-3014
On the existence of universal lottery tickets (2021)
R Burkholz, N Laha, R Mukherjee, A Gotovos, ICLR
G Hahn, SM Lutz, N Laha, MH Cho, EK Silverman, C Lange, Statistics and Computing 31, 1-11
Bi-s∗-concave distributions (2021)
N Laha, Z Miao, JA Wellner, Journal of Statistical Planning and Inference 215, 127-157
Semi-Supervised Learning for Doubly Robust Offline Policy Evaluation (2020)
A Sonabend-W, N Laha, R Mukherjee, T Cai, Offline Reinforcement Learning Workshop at Neural Information Processing
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