Harsh Parikh

According to our database, Harsh Parikh authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects.

Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi

CoRR, 2024

Towards Generalizing Inferences from Trials to Target Populations.

Melody Y. Huang, Sarah E. Robertson, Harsh Parikh

CoRR, 2024

Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population.

Harsh Parikh, Rachael Ross, Elizabeth A. Stuart, Kara E. Rudolph

CoRR, 2024

2023

Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data.

Srikar Katta, Harsh Parikh, Cynthia Rudin, Alexander Volfovsky

CoRR, 2023

Estimating Trustworthy and Safe Optimal Treatment Regimes.

Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky

CoRR, 2023

A Double Machine Learning Approach to Combining Experimental and Observational Data.

Marco Morucci, Vittorio Orlandi, Harsh Parikh, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

CoRR, 2023

From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference.

Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page

CoRR, 2023

Variable importance matching for causal inference.

Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Synthetic Controls as Balancing Scores.

Harsh Parikh

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

MALTS: Matching After Learning to Stretch.

Harsh Parikh, Cynthia Rudin, Alexander Volfovsky

J. Mach. Learn. Res., 2022

Are Synthetic Control Weights Balancing Score?

Harsh Parikh

CoRR, 2022

Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.

Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover

CoRR, 2022

Evaluating Causal Inference Methods.

Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen

CoRR, 2022

Validating Causal Inference Methods.

Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen

Proceedings of the International Conference on Machine Learning, 2022

2021

Detecting Treatment Effect Modifiers in Social Networks.

Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy

CoRR, 2021

2020

Causal Relational Learning.

Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu

Proceedings of the 2020 International Conference on Management of Data, 2020

2016

Control of a Modular Multilevel Converter STATCOM under internal and external unbalances.

Georgios Tsolaridis, Epameinondas Kontos, Harsh Parikh, Ruben M. Sanchez-Loeches, Remus Teodorescu, Sanjay K. Chaudhary

Proceedings of the IECON 2016, 2016

2015

Computational prediction of origin of replication in bacterial genomes using correlated entropy measure (CEM).

Harsh Parikh, Apoorvi Singh, Annangarachari Krishnamachari, Kushal Shah

Biosyst., 2015

Investigating the "Wisdom of Crowds" at Scale.

Alok Shankar Mysore, Vikas S. Yaligar, Imanol Arrieta Ibarra, Camelia Simoiu, Sharad Goel, Ramesh Arvind, Chiraag Sumanth, Arvind Srikantan, Bhargav HS, Mayank Pahadia, Tushar Dobha, Atif Ahmed, Mani Shankar, Himani Agarwal, Rajat Agarwal, Sai Anirudh-Kondaveeti, Shashank Arun-Gokhale, Aayush Attri, Arpita Chandra, Yogitha Chilukur, Sharath Dharmaji, Deepak Garg, Naman Gupta, Paras Gupta, Glincy Mary Jacob, Siddharth Jain, Shashank Joshi, Tarun Khajuria, Sameeksha Khillan, Sandeep Konam, Praveen Kumar-Kolla, Sahil Loomba, Rachit Madan, Akshansh Maharaja, Vidit Mathur, Bharat Munshi, Mohammed Nawazish, Venkata Neehar-Kurukunda, Venkat Nirmal-Gavarraju, Sonali Parashar, Harsh Parikh, Avinash Paritala, Amit Patil, Rahul Phatak, Mandar Pradhan, Abhilasha Ravichander, Krishna Sangeeth, Sreecharan Sankaranarayanan, Vibhor Sehgal, Ashrith Sheshan, Suprajha Shibiraj, Aditya Singh, Anjali Singh, Prashant Sinha, Pushkin Soni, Bipin Thomas, Kasyap Varma-Dattada, Sukanya Venkataraman, Pulkit Verma, Ishan Yelurwar

Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015