Chirag Nagpal

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Factor Analyzers

Exceptional Model Mining

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation. CoRR (2024)
Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant
Robust Preference Optimization through Reward Model Distillation. CoRR (2024)
Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch
Transforming and Combining Rewards for Aligning Large Language Models. CoRR (2024)
Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh
Theoretical guarantees on the best-of-n alignment policy. CoRR (2024)
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
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR (2024)
Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR (2024)
Hailey James, Chirag Nagpal, Katherine A. Heller, Berk Ustun
Participatory Systems for Personalized Prediction. CoRR (2023)
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
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR (2023)
Hailey Joren, Chirag Nagpal, Katherine A. Heller, Berk Ustun
Participatory Personalization in Classification. NeurIPS (2023)
Chirag Nagpal, Vedant Sanil, Artur Dubrawski
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes. CoRR (2023)
Chirag Nagpal, Willa Potosnak, Artur Dubrawski
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. CoRR (2022)
Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
Counterfactual Phenotyping with Censored Time-to-Events. CoRR (2022)
Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
Counterfactual Phenotyping with Censored Time-to-Events. KDD (2022)
Chirag Nagpal, Willa Potosnak, Artur Dubrawski
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. MLHC (2022)
Chirag Nagpal, Vincent Jeanselme, Artur Dubrawski
Deep Parametric Time-to-Event Regression with Time-Varying Covariates. SPACA (2021)
Chirag Nagpal, Xinyu Li, Artur Dubrawski
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
Deep Cox Mixtures for Survival Regression. MLHC (2021)
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
Deep Cox Mixtures for Survival Regression. CoRR (2021)
Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
Latent Bayesian Inference for Robust Earnings Estimates. CoRR (2020)
Chirag Nagpal, Xinyu Li, Artur Dubrawski
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks. CoRR (2020)
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. CHIL (2020)
Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski
Dynamically Personalized Detection of Hemorrhage. MLHC (2019)
Chirag Nagpal, Rohan Sangave, Amit Chahar, Parth Shah, Artur Dubrawski, Bhiksha Raj
Nonlinear Semi-Parametric Models for Survival Analysis. CoRR (2019)
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines. CoRR (2019)
Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski
Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. ICDM Workshops (2017)
Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski
An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. NUT@EMNLP (2017)
Abhilasha Ravichander, Shruti Rijhwani, Rajat Kulshreshtha, Chirag Nagpal, Tadas Baltrusaitis, Louis-Philippe Morency
Preserving Intermediate Objectives: One Simple Trick to Improve Learning for Hierarchical Models. CoRR (2017)
Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski
An Entity Resolution approach to isolate instances of Human Trafficking online. CoRR (2015)
Chirag Nagpal, Khushboo Singhal
Twitter User Classification using Ambient Metadata. CoRR (2014)