Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Rahul Singh

Rahul Singh

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

Nov 09, 2021
Rahul Singh

Figure 1 for Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection

Figure 2 for Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection

* 75 pages

Access Paper or Ask Questions

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

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

Figure 1 for Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects

Figure 2 for Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects

Figure 3 for Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects

Figure 4 for Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects

* 66 pages. Material in this draft previously appeared in a working paper presented at the 2020 NeurIPS Workshop on ML for Economic Policy (arXiv:2010.04855v1). We have divided the original working paper (arXiv:2010.04855v1) into two projects: one paper focusing on static settings (arXiv:2010.04855) and this paper focusing on dynamic settings

Access Paper or Ask Questions

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

Nov 04, 2021
Archit Parnami, Rahul Singh, Tarun Joshi

Figure 1 for Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures

Figure 2 for Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures

Figure 3 for Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures

Figure 4 for Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures

* 23 Pages, 18 figures, 3 tables

Access Paper or Ask Questions

Inference of collective Gaussian hidden Markov models

Jul 24, 2021
Rahul Singh, Yongxin Chen

Figure 1 for Inference of collective Gaussian hidden Markov models

Figure 2 for Inference of collective Gaussian hidden Markov models

Figure 3 for Inference of collective Gaussian hidden Markov models

Figure 4 for Inference of collective Gaussian hidden Markov models

Access Paper or Ask Questions

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

Jul 06, 2021
Anish Agarwal, Rahul Singh

Figure 1 for Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy

Figure 2 for Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy

Figure 3 for Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy

* 99 pages

Access Paper or Ask Questions

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

May 31, 2021
Victor Chernozhukov, Whitney K. Newey, Rahul Singh

Figure 1 for A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees

Figure 2 for A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees

Figure 3 for A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees

Figure 4 for A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees

* 25 pages. arXiv admin note: text overlap with arXiv:2102.11076

Access Paper or Ask Questions

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

Apr 20, 2021
Rahul Singh, Karan Jindal, Yufei Yu, Hanyu Yang, Tarun Joshi, Matthew A. Campbell, Wayne B. Shoumaker

Figure 1 for Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace

Figure 2 for Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace

Figure 3 for Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace

Figure 4 for Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace

* 18 pages, 2 figures, 18 tables

Access Paper or Ask Questions