Publications

Submitted
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
Maya Ramachandran and Rajarshi Mukherjee. Submitted. “ On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift”. 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
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
2021
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)
2020
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
Rajarshi Mukherjee and Gourab Ray. 2020. “On Testing for Parameters in Ising Models.” Annales de l'Institut Henri Poincaré, Probabilités et Statistiques (To Appear). Arxiv
2019
Rajarshi Mukherjee and Bodhisattva Sen. 2019. “On Efficiency of the Plug-in Principle for Estimating Smooth Integrated Functionals of a Nonincreasing Density .” Electronic Journal of Statistics, 13 , Pp. 4416–4448. Publisher's Version
2018
Rajarshi Mukherjee, Sumit Mukherjee, and Subhabrata Sen. 2018. “Detection Thresholds for the ß -Model on Sparse Graphs.” Annals of Statistics, 46, 3, Pp. 1288-1317. Publisher's Version
Rajarshi Mukherjee, Sumit Mukherjee, and Ming Yuan. 2018. “Global testing against sparse alternatives under Ising models.” Annals of Statistics, 46, 5, Pp. 2062-2093. Publisher's Version
Rajarshi Mukherjee and Subhabrata Sen. 2018. “Optimal adaptive inference in random design binary regression.” Bernoulli, 24, 1, Pp. 699-739. Publisher's Version
2017
Kinjal Basu and Rajarshi Mukherjee. 2017. “Asymptotic Normality of Scrambled Geometric Net Quadrature.” Annals of Statistics, 45, 4, Pp. 1759–1788. Publisher's Version

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