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Rahul Singh

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Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions

Jan 13, 2022
Rahul Singh

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A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects

Dec 28, 2021
Rahul Singh

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

Nov 17, 2021
Archit Parnami, Rahul Singh, Tarun Joshi

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

Nov 09, 2021
Rahul Singh

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

Nov 06, 2021
Rahul Singh, Liyuan Xu, Arthur Gretton

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

Sep 20, 2021
Guojun Xiong, Jian Li, Rahul Singh

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Inference of collective Gaussian hidden Markov models

Jul 24, 2021
Rahul Singh, Yongxin Chen

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

Jul 06, 2021
Anish Agarwal, Rahul Singh

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