Chirag Nagpal

According to our database, Chirag Nagpal authored at least 24 papers between 2014 and 2024.

Collaborative distances:

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

2024

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar

CoRR, 2024

Robust Preference Optimization through Reward Model Distillation.

Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant

CoRR, 2024

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models.

Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal

CoRR, 2024

Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation.

Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour

CoRR, 2024

Theoretical guarantees on the best-of-n alignment policy.

Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh

CoRR, 2024

Transforming and Combining Rewards for Aligning Large Language Models.

Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa.

Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

2023

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.

Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant

CoRR, 2023

Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes.

Chirag Nagpal, Vedant Sanil, Artur Dubrawski

CoRR, 2023

Participatory Systems for Personalized Prediction.

Hailey James, Chirag Nagpal, Katherine A. Heller, Berk Ustun

CoRR, 2023

Participatory Personalization in Classification.

Hailey Joren, Chirag Nagpal, Katherine A. Heller, Berk Ustun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data.

Chirag Nagpal, Willa Potosnak, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2022

Counterfactual Phenotyping with Censored Time-to-Events.

Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks.

Chirag Nagpal, Xinyu Li, Artur Dubrawski

IEEE J. Biomed. Health Informatics, 2021

Deep Parametric Time-to-Event Regression with Time-Varying Covariates.

Chirag Nagpal, Vincent Jeanselme, Artur Dubrawski

Proceedings of AAAI Symposium on Survival Prediction, 2021

Deep Cox Mixtures for Survival Regression.

Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller

Proceedings of the Machine Learning for Healthcare Conference, 2021

2020

Latent Bayesian Inference for Robust Earnings Estimates.

Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso

CoRR, 2020

Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines.

Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

Nonlinear Semi-Parametric Models for Survival Analysis.

Chirag Nagpal, Rohan Sangave, Amit Chahar, Parth Shah, Artur Dubrawski, Bhiksha Raj

CoRR, 2019

Dynamically Personalized Detection of Hemorrhage.

Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2019

2017

Preserving Intermediate Objectives: One Simple Trick to Improve Learning for Hierarchical Models.

Abhilasha Ravichander, Shruti Rijhwani, Rajat Kulshreshtha, Chirag Nagpal, Tadas Baltrusaitis, Louis-Philippe Morency

CoRR, 2017

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data.

Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

An Entity Resolution Approach to Isolate Instances of Human Trafficking Online.

Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2014

Twitter User Classification using Ambient Metadata.

Chirag Nagpal, Khushboo Singhal

CoRR, 2014