Nikhil Garg

According to our database, Nikhil Garg authored at least 49 papers between 2015 and 2025.

Collaborative distances:

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

2025

Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts.

Kenny Peng, Rajiv Movva, Jon M. Kleinberg, Emma Pierson, Nikhil Garg

CoRR, June, 2025

Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports.

Sidhika Balachandar, Shuvom Sadhuka, Bonnie Berger, Emma Pierson, Nikhil Garg

CoRR, June, 2025

Correlated Errors in Large Language Models.

Elliot Kim, Avi Garg, Kenny Peng, Nikhil Garg

CoRR, June, 2025

Optimizing Library Usage and Browser Experience: Application to the New York Public Library.

Zhi Liu, Wenchang Zhu, Sarah Rankin, Nikhil Garg

CoRR, March, 2025

Inferring fine-grained migration patterns across the United States.

Gabriel Agostini, Rachel Young, Maria Fitzpatrick, Nikhil Garg, Emma Pierson

CoRR, March, 2025

Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection.

Matt Franchi, Nikhil Garg, Wendy Ju, Emma Pierson

CoRR, March, 2025

Sparse Autoencoders for Hypothesis Generation.

Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson

CoRR, February, 2025

Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care.

Vince Bartle, Ashley Shearer, Alexandra Wroe, Nicola Dell, Nikhil Garg

Proc. ACM Hum. Comput. Interact., 2025

Balancing Producer Fairness and Efficiency via Prior-Weighted Rating System Design.

Thomas Ma, Michael S. Bernstein, Ramesh Johari, Nikhil Garg

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

Learning Disease Progression Models That Capture Health Disparities.

Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, Emma Pierson

Proceedings of the Conference on Health, 2025

A No Free Lunch Theorem for Human-AI Collaboration.

Kenny Peng, Nikhil Garg, Jon M. Kleinberg

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Quantifying spatial under-reporting disparities in resident crowdsourcing.

Zhi Liu, Uma Bhandaram, Nikhil Garg

Nat. Comput. Sci., 2024

Learning Disease Progression Models That Capture Health Disparities.

Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Nir Uriel, Deborah Estrin, Nikhil Garg, Emma Pierson

CoRR, 2024

Algorithms for College Admissions Decision Support: Impacts of Policy Change and Inherent Variability.

Jinsook Lee, Emma Harvey, Joyce Zhou, Nikhil Garg, Thorsten Joachims, René F. Kizilcec

CoRR, 2024

Reconciling the Accuracy-Diversity Trade-off in Recommendations.

Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg

Proceedings of the ACM on Web Conference 2024, 2024

Equitable Congestion Pricing under the Markovian Traffic Model: An Application to Bogota.

Alfredo Torrico, Natthawut Boonsiriphatthanajaroen, Nikhil Garg, Andrea Lodi, Hugo Mainguy

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Wisdom and Foolishness of Noisy Matching Markets.

Kenny Peng, Nikhil Garg

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Redesigning Service Level Agreements: Equity and Efficiency in City Government Operations.

Zhi Liu, Nikhil Garg

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Monoculture in Matching Markets.

Kenny Peng, Nikhil Garg

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers.

Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Domain constraints improve risk prediction when outcome data is missing.

Sidhika Balachandar, Nikhil Garg, Emma Pierson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ending Affirmative Action Harms Diversity Without Improving Academic Merit.

Jinsook Lee, Emma Harvey, Joyce Zhou, Nikhil Garg, Thorsten Joachims, René F. Kizilcec

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

Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling.

Zhi Liu, Sarah Rankin, Nikhil Garg

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing.

Gabriel Agostini, Emma Pierson, Nikhil Garg

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Large language models shape and are shaped by society: A survey of arXiv publication patterns.

Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson

CoRR, 2023

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems.

Smitha Milli, Emma Pierson, Nikhil Garg

CoRR, 2023

Interface Design to Mitigate Inflation in Recommender Systems.

Rana Shahout, Yehonatan Peisakhovsky, Sasha Stoikov, Nikhil Garg

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Supply-Side Equilibria in Recommender Systems.

Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt

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

Coarse race data conceals disparities in clinical risk score performance.

Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Driver Surge Pricing.

Nikhil Garg, Hamid Nazerzadeh

Manag. Sci., 2022

Equity in Resident Crowdsourcing: Measuring Under-reporting without Ground Truth Data.

Zhi Liu, Nikhil Garg

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Combatting Gerrymandering with Social Choice: The Design of Multi-member Districts.

Nikhil Garg, Wes Gurnee, David Rothschild, David B. Shmoys

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis.

J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Fair ranking: a critical review, challenges, and future directions.

Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Strategic ranking.

Lydia T. Liu, Nikhil Garg, Christian Borgs

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Markets for public decision-making.

Nikhil Garg, Ashish Goel, Benjamin Plaut

Soc. Choice Welf., 2021

Designing Informative Rating Systems: Evidence from an Online Labor Market.

Nikhil Garg, Ramesh Johari

Manuf. Serv. Oper. Manag., 2021

Standardized Tests and Affirmative Action: The Role of Bias and Variance.

Nikhil Garg, Hannah Li, Faidra Monachou

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps.

Zhi Liu, Nikhil Garg

Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

The Stereotyping Problem in Collaboratively Filtered Recommender Systems.

Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg

Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

2020

Fair Allocation through Selective Information Acquisition.

William Cai, Johann Gaebler, Nikhil Garg, Sharad Goel

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Iterative Local Voting for Collective Decision-making in Continuous Spaces.

Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala

J. Artif. Intell. Res., 2019

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings.

Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Who Is in Your Top Three? Optimizing Learning in Elections with Many Candidates.

Nikhil Garg, Lodewijk Gelauff, Sukolsak Sakshuwong, Ashish Goel

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Designing Optimal Binary Rating Systems.

Nikhil Garg, Ramesh Johari

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Word embeddings quantify 100 years of gender and ethnic stereotypes.

Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou

Proc. Natl. Acad. Sci. USA, 2018

Designing Informative Rating Systems for Online Platforms: Evidence from Two Experiments.

Nikhil Garg, Ramesh Johari

CoRR, 2018

2017

Collaborative Optimization for Collective Decision-making in Continuous Spaces.

Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala

Proceedings of the 26th International Conference on World Wide Web, 2017

2015

Impact of Dual Slope Path Loss on User Association in HetNets.

Nikhil Garg, Sarabjot Singh, Jeffrey G. Andrews

Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015