Garg, Nikhil

17 publications

AAAI 2025 A No Free Lunch Theorem for Human-AI Collaboration Kenny Peng, Nikhil Garg, Jon M. Kleinberg

ICML 2025 Correlated Errors in Large Language Models Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg

CHIL 2025 Learning Disease Progression Models That Capture Health Disparities Erica Chiang, Divya M Shanmugam, Ashley Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, Emma Pierson

ICML 2025 Sparse Autoencoders for Hypothesis Generation Rajiv Movva, Kenny Peng, Nikhil Garg, Jon Kleinberg, Emma Pierson

AAAI 2024 A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing Gabriel Agostini, Emma Pierson, Nikhil Garg

ICLR 2024 Domain Constraints Improve Risk Prediction When Outcome Data Is Missing Sidhika Balachandar, Nikhil Garg, Emma Pierson

AAAI 2024 Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling Zhi Liu, Sarah Rankin, Nikhil Garg

NeurIPS 2024 Monoculture in Matching Markets Kenny Peng, Nikhil Garg

NeurIPS 2024 User-Item Fairness Tradeoffs in Recommendations Sophie Greenwood, Sudalakshmee Chiniah, Nikhil Garg

MLHC 2023 Coarse Race Data Conceals Disparities in Clinical Risk Score Performance Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John Guttag, Nikhil Garg, Emma Pierson

NeurIPSW 2023 Domain Constraints Improve Risk Prediction When Outcome Data Is Missing Sidhika Balachandar, Nikhil Garg, Emma Pierson

ICMLW 2023 Identifying Under-Reported Events in Networks with Spatial Latent Variable Models Gabriel Agostini, Emma Pierson, Nikhil Garg

NeurIPS 2023 Supply-Side Equilibria in Recommender Systems Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt

AISTATS 2022 Strategic Ranking Lydia T. Liu, Nikhil Garg, Christian Borgs

CVPRW 2021 Localized Triplet Loss for Fine-Grained Fashion Image Retrieval Antonio D'Innocente, Nikhil Garg, Yuan Zhang, Loris Bazzani, Michael Donoser

AISTATS 2019 Designing Optimal Binary Rating Systems Nikhil Garg, Ramesh Johari

JAIR 2019 Iterative Local Voting for Collective Decision-Making in Continuous Spaces Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala