False discovery rate control: Moving beyond the Benjamini-Hochberg method (2024)

S Koner, N De Sarkar, N Laha

Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher  Consistent Surrogate Loss (2024)

N Laha, A Sonabend-W, R Mukherjee, T Cai, [To appear at the Annals of Statistics]

Revisiting the two-sample location shift model with a log-concavity assumption (2023)

R Saha, P Das, N Laha

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

A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD) (2021)

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

A framework to efficiently smooth L1 penalties for linear regression (2020)

G Hahn, SM Lutz, N Laha, C Lange

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