Harsh Parikh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Relational Learning

Feature Importance

Observational Data

Top Venues

Publications

Harsh Parikh, Quinn Lanners, Zade Akras, Sahar Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky
Safe and Interpretable Estimation of Optimal Treatment Regimes. AISTATS (2024)
Srikar Katta, Harsh Parikh, Cynthia Rudin, Alexander Volfovsky
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data. AISTATS (2024)
Melody Y. Huang, Sarah E. Robertson, Harsh Parikh
Towards Generalizing Inferences from Trials to Target Populations. CoRR (2024)
Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi
Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects. CoRR (2024)
Harsh Parikh, Rachael Ross, Elizabeth Stuart, Kara E. Rudolph
Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population. CoRR (2024)
Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page
From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference. CoRR (2023)
Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky
Estimating Trustworthy and Safe Optimal Treatment Regimes. CoRR (2023)
Marco Morucci, Vittorio Orlandi, Harsh Parikh, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
A Double Machine Learning Approach to Combining Experimental and Observational Data. CoRR (2023)
Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page
Variable importance matching for causal inference. UAI (2023)
Harsh Parikh
Synthetic Controls as Balancing Scores. Tiny Papers @ ICLR (2023)
Srikar Katta, Harsh Parikh, Cynthia Rudin, Alexander Volfovsky
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data. CoRR (2023)
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
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. CoRR (2022)
Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen
Evaluating Causal Inference Methods. CoRR (2022)
Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen
Validating Causal Inference Methods. ICML (2022)
Harsh Parikh, Cynthia Rudin, Alexander Volfovsky
MALTS: Matching After Learning to Stretch. J. Mach. Learn. Res. 23 (2022)
Harsh Parikh
Are Synthetic Control Weights Balancing Score? CoRR (2022)
Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy
Detecting Treatment Effect Modifiers in Social Networks. CoRR (2021)
Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu
Causal Relational Learning. CoRR (2020)
Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu
Causal Relational Learning. SIGMOD Conference (2020)
Harsh Parikh, Cynthia Rudin, Alexander Volfovsky
MALTS: Matching After Learning to Stretch. CoRR (2018)
Georgios Tsolaridis, Epameinondas Kontos, Harsh Parikh, Ruben M. Sanchez-Loeches, Remus Teodorescu, Sanjay K. Chaudhary
Control of a Modular Multilevel Converter STATCOM under internal and external unbalances. IECON (2016)
Harsh Parikh, Apoorvi Singh, Annangarachari Krishnamachari, Kushal Shah
Computational prediction of origin of replication in bacterial genomes using correlated entropy measure (CEM). Biosyst. 128 (2015)
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
Investigating the "Wisdom of Crowds" at Scale. UIST (Adjunct Volume) (2015)