Rahul Singh

发表

Reward Biased Maximum Likelihood Estimation for Learning in Constrained MDPs

Rahul Singh, 2021 .

Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace pdf

Rahul Singh, Tarun Joshi, Karan Jindal, 2021, ArXiv.

Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects pdf

Arthur Gretton, Rahul Singh, Liyuan Xu, 2021, ArXiv.

Some multivariate goodness of fit tests based on data depth

Subhajit Dutta, Neeraj Misra, Rahul Singh, 2021, Journal of Nonparametric Statistics.

Learning Hidden Markov Models from Aggregate Observations pdf

Yongxin Chen, Qinsheng Zhang, Rahul Singh, 2022, Automatica.

Low-Power Status Updates via Sleep-Wake Scheduling

Ness B. Shroff, Yin Sun, Ahmed M. Bedewy, 2021, IEEE/ACM Transactions on Networking.

Adaptive CSMA for Decentralized Scheduling of Multi-Hop Networks With End-to-End Deadline Constraints

P. R. Kumar, Rahul Singh, P. R. Kumar, 2021, IEEE/ACM Transactions on Networking.

Self-interpretable Convolutional Neural Networks for Text Classification pdf

Vijayan N. Nair, Agus Sudjianto, Rahul Singh, 2021, ArXiv.

A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees pdf

Victor Chernozhukov, Whitney K. Newey, Rahul Singh, 2021, ArXiv.

Inference of collective Gaussian hidden Markov models pdf

Yongxin Chen, Rahul Singh, 2021, ArXiv.

Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection pdf

Rahul Singh, 2021, ArXiv.

Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures pdf

Archit Parnami, Rahul Singh, Tarun Joshi, 2021, ArXiv.

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers pdf

Jian Li, Guojun Xiong, Rahul Singh, 2021, ArXiv.

Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits pdf

Jian Li, Rahul Singh, Guojun Xiong, 2021, ArXiv.

U-statistic based on overlapping sample spacings

Neeraj Misra, Rahul Singh, 2021 .

Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy pdf

Anish Agarwal, Rahul Singh, 2021, ArXiv.

Debiased Kernel Methods pdf

Rahul Singh, 2021, ArXiv.

Some parametric tests based on sample spacings

Neeraj Misra, Rahul Singh, 2021 .

Reward Biased Maximum Likelihood Estimation for Reinforcement Learning

P. R. Kumar, Akshay Mete, Rahul Singh, 2021, L4DC.

Learning L2 Continuous Regression Functionals via Regularized Riesz Representers

Victor Chernozhukov, Rahul Singh, W. Newey, 2018 .

Inference with Aggregate Data: An Optimal Transport Approach pdf

Johan Karlsson, Yongxin Chen, Isabel Haasler, 2020, ArXiv.

Automatic Debiased Machine Learning of Causal and Structural Effects

Victor Chernozhukov, Rahul Singh, Whitney K Newey, 2018 .

Double/De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers

James M. Robins, Victor Chernozhukov, Whitney K. Newey, 2018 .