Maya Ramachandran, Rajarshi Mukherjee, and Giovanni Parmigiani. Submitted. “Cross-Cluster Weighted Forests”. Arxiv
Nabarun Deb, Rajarshi Mukherjee, Sumit Mukherjee, and Ming Yuan. Submitted. “Detecting Structured Signals in Ising Models ”. Arxiv
Jue Hou, Rajarshi Mukherjee, and Tianxi Cai. Submitted. “Efficient and Robust Semi-supervised Estimation of ATE with Partially Annotated Treatment and Response”. Arxiv
Maya Ramachandran and Rajarshi Mukherjee. Submitted. “ On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift”. Arxiv
Nilanjana Laha, Aaron Sonabend, Rajarshi Mukherjee, and Tianxi Cai. Submitted. “Finding the Optimal Dynamic Treatment Regime Using Fisher Consistent Surrogate Loss ”. Arxiv
Sohom Bhattacharya, Rajarshi Mukherjee, and Gourab Ray. Submitted. “Sharp Signal Detection Under Ferromagnetic Ising Models”. Arxiv
Nilanjana Laha and Rajarshi Mukherjee. Submitted. “On Support Recovery With Sparse CCA: Information Theoretic and Computational Limits”. Arxiv
Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, and Alkis Gotovos. Submitted. “On the Existence of Universal Lottery Tickets”.
Rajarshi Mukherjee and Subhabrata Sen. Submitted. “On Minimax Exponents of Sparse Testing”. Arxiv
Rajarshi Mukherjee, Whitney Newey, and James Robins. Submitted. “Semiparametric Efficient Empirical Higher Order Influence Function Estimators”. Arxiv
Aaron Sonabend, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, and Rajarshi Mukherjee. Submitted. “Semi-Supervised Off Policy Reinforcement Learning”. Arxiv
Bhaswar B. Bhattacharya and Rajarshi Mukherjee. Submitted. “Sparse Uniformity Testing”. Arxiv
Nilanjana Laha, Nathan Huey, Brent Coull, and Rajarshi Mukherjee. Submitted. “On Statistical Inference with High Dimensional Sparse CCA”. Arxiv
Weeberb J. Requia, Heresh Amini, Rajarshi Mukherjee, Diane R. Gold, and Joel D. Schwartz. 2021. “Health impacts of wildfire-related air pollution in Brazil: A nationwide of more than 2 million hospital admissions between 2008 and 2018.” Nature Communications.
Chi-Hsuan Ho, Yu-Jyun Huang, Ying-Ju Lai, Rajarshi Mukherjee, and Chuhsing Kate Hsiao. 2021. “The misuse of distributional assumptions in functional class scoring gene-set and pathway analysis.” G3: Genes Genomes Genetics.
Lin Liu, Rajarshi Mukherjee, James M. Robins, and Eric Tchetgen Tchetgen. 2021. “On Adaptive Estimation of Nonparametric Functionals”. Journal of Machine Learning Research (To Appear)
Weeberb J. Requia, Stefania Papatheodorou, Petros Koutrakis, Rajarshi Mukherjee, and Henrique L.Roig. 2021. “Increased preterm birth following maternal wildfire smoke exposure in Brazil.” International Journal of Hygiene and Environmental Health, 240. Publisher's Version
Lin Liu, Rajarshi Mukherjee, and James Robins. 2020. “On assumption-free tests and confidence intervals for causal effects estimated by machine learning .” Statistical Science (To Appear). Publisher's Version
Yanjun Han, Jiantao Jiao, and Rajarshi Mukherjee. 2020. “On Estimation of Lr norms in Gaussian White Noise Models.” Probability Theory and Related Fields (To Appear). Publisher's Version
Rajarshi Mukherjee and Subhabrata Sen. 2020. “Testing Degree Correction in Stochastic Block Models.” Annales de l'Institut Henri Poincaré, Probabilités et Statistiques (To Appear). Arxiv