Rajarshi Mukherjee | DeepAI

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Bodhisattva Sen
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Subhabrata Sen
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Sumit Mukherjee
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Bhaswar B. Bhattacharya
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Rebekka Burkholz
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Pragya Sur
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∙ 06/18/2023

Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators

In this article we develop a feasible version of the assumption-lean tes...

0 Lin Liu, et al. ∙

∙ 12/30/2022

On Undersmoothing and Sample Splitting for Estimating a Doubly Robust Functional

We consider the problem of constructing minimax rate-optimal estimators ...

0 Sean McGrath, et al. ∙

∙ 11/15/2022

Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates

Given a heterogeneous Gaussian sequence model with unknown mean θ∈ℝ^d an...

0 Julien Chhor, et al. ∙

∙ 09/22/2022

PC Adjusted Testing for Low Dimensional Parameters

In this paper we consider the effect of high dimensional Principal Compo...

0 Sohom Bhattacharya, et al. ∙

∙ 05/20/2022

A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond

Estimation of the average treatment effect (ATE) is a central problem in...

0 Kuanhao Jiang, et al. ∙

∙ 11/22/2021

On the Existence of Universal Lottery Tickets

The lottery ticket hypothesis conjectures the existence of sparse subnet...

0 Rebekka Burkholz, et al. ∙

∙ 11/03/2021

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

Large health care data repositories such as electronic health records (E...

0 Nilanjana Laha, et al. ∙

∙ 10/24/2021

Efficient and Robust Semi-supervised Estimation of ATE with Partially Annotated Treatment and Response

A notable challenge of leveraging Electronic Health Records (EHR) for tr...

0 Jue Hou, et al. ∙

∙ 10/06/2021

Sharp Signal Detection Under Ferromagnetic Ising Models

In this paper we study the effect of dependence on detecting a class of ...

0 Sohom Bhattacharya, et al. ∙

∙ 09/24/2021

On Statistical Inference with High Dimensional Sparse CCA

We consider asymptotically exact inference on the leading canonical corr...

0 Nilanjana Laha, et al. ∙

∙ 09/22/2021

Sparse Uniformity Testing

In this paper we consider the uniformity testing problem for high-dimens...

0 Bhaswar B. Bhattacharya, et al. ∙

∙ 08/14/2021

On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits

In this paper we consider asymptotically exact support recovery in the c...

0 Nilanjana Laha, et al. ∙

∙ 06/04/2021

On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift

It has been postulated and observed in practice that for prediction prob...

0 Maya Ramchandran, et al. ∙

∙ 05/17/2021

Cross-Cluster Weighted Forests

Adapting machine learning algorithms to better handle the presence of na...

8 Maya Ramchandran, et al. ∙

∙ 12/10/2020

Detecting Structured Signals in Ising Models

In this paper, we study the effect of dependence on detecting a class of...

0 Nabarun Deb, et al. ∙

∙ 12/09/2020

Semi-Supervised Off Policy Reinforcement Learning

Reinforcement learning (RL) has shown great success in estimating sequen...

0 Aaron Sonabend W, et al. ∙

∙ 08/07/2020

Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning

This is the rejoinder to the discussion by Kennedy, Balakrishnan and Was...

9 Lin Liu, et al. ∙

∙ 03/01/2020

On Minimax Exponents of Sparse Testing

We consider exact asymptotics of the minimax risk for global testing aga...

0 Rajarshi Mukherjee, et al. ∙

∙ 06/02/2019

On Testing for Parameters in Ising Models

We consider testing for the parameters of Ferromagnetic Ising models. Wh...

0 Rajarshi Mukherjee, et al. ∙

∙ 04/08/2019

On assumption-free tests and confidence intervals for causal effects estimated by machine learning

For many causal effect parameters ψ of interest doubly robust machine le...

0 Lin Liu, et al. ∙

∙ 08/23/2018

Estimation of Integrated Functionals of a Monotone Density

In this paper we study estimation of integrated functionals of a monoton...

0 Rajarshi Mukherjee, et al. ∙

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