Impact of Dual Slope Path Loss on User Association in HetNets. - Nikhil Garg 001; Sarabjot Singh; Jeffrey G. Andrews (GLOBECOM Workshops, 2015)

Collaborative Optimization for Collective Decision-making in Continuous Spaces. - Nikhil Garg 001; Vijay Kamble; Ashish Goel; David Marn; Kamesh Munagala (WWW, 2017)

Designing Informative Rating Systems for Online Platforms: Evidence from Two Experiments. - Nikhil Garg 001; Ramesh Johari (CoRR, 2018)

Word embeddings quantify 100 years of gender and ethnic stereotypes. - Nikhil Garg 001; Londa Schiebinger; Dan Jurafsky; James Zou 001 (Proc. Natl. Acad. Sci. USA, 2018)

Designing Optimal Binary Rating Systems. - Nikhil Garg 001; Ramesh Johari (AISTATS, 2019)

Who Is in Your Top Three? Optimizing Learning in Elections with Many Candidates. - Nikhil Garg 001; Lodewijk Gelauff; Sukolsak Sakshuwong; Ashish Goel (HCOMP, 2019)

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. - Dorottya Demszky; Nikhil Garg 001; Rob Voigt; James Zou 001; Jesse Shapiro; Matthew Gentzkow; Dan Jurafsky (NAACL-HLT (1), 2019)

Iterative Local Voting for Collective Decision-making in Continuous Spaces. - Nikhil Garg 001; Vijay Kamble; Ashish Goel; David Marn; Kamesh Munagala (J. Artif. Intell. Res., 2019)

Fair Allocation through Selective Information Acquisition. - William Cai; Johann Gaebler; Nikhil Garg 001; Sharad Goel (AIES, 2020)

The Stereotyping Problem in Collaboratively Filtered Recommender Systems. - Wenshuo Guo; Karl Krauth; Michael I. Jordan; Nikhil Garg 001 (EAAMO, 2021)

Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps. - Zhi Liu; Nikhil Garg 001 (EAAMO, 2021)

Standardized Tests and Affirmative Action: The Role of Bias and Variance. - Nikhil Garg 001; Hannah Li; Faidra Monachou (FAccT, 2021)

Designing Informative Rating Systems: Evidence from an Online Labor Market. - Nikhil Garg 001; Ramesh Johari (Manuf. Serv. Oper. Manag., 2021)

Markets for public decision-making. - Nikhil Garg 001; Ashish Goel; Benjamin Plaut (Soc. Choice Welf., 2021)

Strategic ranking. - Lydia T. Liu; Nikhil Garg 001; Christian Borgs (AISTATS, 2022)

Fair ranking: a critical review, challenges, and future directions. - Gourab K. Patro; Lorenzo Porcaro; Laura Mitchell; Qiuyue Zhang; Meike Zehlike; Nikhil Garg 001 (FAccT, 2022)

Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. - J. D. Zamfirescu-Pereira; Jerry Chen; Emily Wen; Allison Koenecke; Nikhil Garg 001; Emma Pierson (FAccT, 2022)

Combatting Gerrymandering with Social Choice: The Design of Multi-member Districts. - Nikhil Garg 001; Wes Gurnee; David Rothschild; David B. Shmoys (EC, 2022)

Equity in Resident Crowdsourcing: Measuring Under-reporting without Ground Truth Data. - Zhi Liu; Nikhil Garg 001 (EC, 2022)

Driver Surge Pricing. - Nikhil Garg 001; Hamid Nazerzadeh (Manag. Sci., 2022)

Coarse race data conceals disparities in clinical risk score performance. - Rajiv Movva; Divya Shanmugam; Kaihua Hou; Priya Pathak; John V. Guttag; Nikhil Garg 001; Emma Pierson (MLHC, 2023)

Supply-Side Equilibria in Recommender Systems. - Meena Jagadeesan; Nikhil Garg 001; Jacob Steinhardt (NeurIPS, 2023)

Interface Design to Mitigate Inflation in Recommender Systems. - Rana Shahout; Yehonatan Peisakhovsky; Sasha Stoikov; Nikhil Garg 001 (RecSys, 2023)

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems. - Smitha Milli; Emma Pierson; Nikhil Garg 001 (CoRR, 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 001; Emma Pierson (CoRR, 2023)

A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing. - Gabriel Agostini; Emma Pierson; Nikhil Garg 001 (AAAI, 2024)

Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling. - Zhi Liu; Sarah Rankin; Nikhil Garg 001 (AAAI, 2024)

Ending Affirmative Action Harms Diversity Without Improving Academic Merit. - Jinsook Lee; Emma Harvey; Joyce Zhou; Nikhil Garg 001; Thorsten Joachims; René F. Kizilcec (EAAMO, 2024)

Domain constraints improve risk prediction when outcome data is missing. - Sidhika Balachandar; Nikhil Garg 001; Emma Pierson (ICLR, 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 001; Emma Pierson (NAACL-HLT, 2024)

Monoculture in Matching Markets. - Kenny Peng; Nikhil Garg 001 (NeurIPS, 2024)

Redesigning Service Level Agreements: Equity and Efficiency in City Government Operations. - Zhi Liu; Nikhil Garg 001 (EC, 2024)

Wisdom and Foolishness of Noisy Matching Markets. - Kenny Peng; Nikhil Garg 001 (EC, 2024)

Equitable Congestion Pricing under the Markovian Traffic Model: An Application to Bogota. - Alfredo Torrico; Natthawut Boonsiriphatthanajaroen; Nikhil Garg 001; Andrea Lodi 001; Hugo Mainguy (EC, 2024)

Reconciling the Accuracy-Diversity Trade-off in Recommendations. - Kenny Peng; Manish Raghavan; Emma Pierson; Jon M. Kleinberg; Nikhil Garg 001 (WWW, 2024)

Algorithms for College Admissions Decision Support: Impacts of Policy Change and Inherent Variability. - Jinsook Lee; Emma Harvey; Joyce Zhou; Nikhil Garg 001; Thorsten Joachims; René F. Kizilcec (CoRR, 2024)

Learning Disease Progression Models That Capture Health Disparities. - Erica Chiang; Divya Shanmugam; Ashley N. Beecy; Gabriel Sayer; Nir Uriel; Deborah Estrin; Nikhil Garg 001; Emma Pierson (CoRR, 2024)

Quantifying spatial under-reporting disparities in resident crowdsourcing. - Zhi Liu; Uma Bhandaram; Nikhil Garg 001 (Nat. Comput. Sci., 2024)

A No Free Lunch Theorem for Human-AI Collaboration. - Kenny Peng; Nikhil Garg 001; Jon M. Kleinberg (AAAI, 2025)

Learning Disease Progression Models That Capture Health Disparities. - Erica Chiang; Divya Shanmugam; Ashley N. Beecy; Gabriel Sayer; Deborah Estrin; Nikhil Garg 001; Emma Pierson (CHIL, 2025)

Balancing Producer Fairness and Efficiency via Prior-Weighted Rating System Design. - Thomas Ma; Michael S. Bernstein; Ramesh Johari; Nikhil Garg 001 (ICWSM, 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 001 (Proc. ACM Hum. Comput. Interact., 2025)

Sparse Autoencoders for Hypothesis Generation. - Rajiv Movva; Kenny Peng; Nikhil Garg 001; Jon M. Kleinberg; Emma Pierson (CoRR, 2025)

Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection. - Matt Franchi; Nikhil Garg 001; Wendy Ju; Emma Pierson (CoRR, 2025)

Inferring fine-grained migration patterns across the United States. - Gabriel Agostini; Rachel Young; Maria Fitzpatrick; Nikhil Garg 001; Emma Pierson (CoRR, 2025)

Optimizing Library Usage and Browser Experience: Application to the New York Public Library. - Zhi Liu; Wenchang Zhu; Sarah Rankin; Nikhil Garg 001 (CoRR, 2025)

Correlated Errors in Large Language Models. - Elliot Kim; Avi Garg; Kenny Peng; Nikhil Garg 001 (CoRR, 2025)

Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports. - Sidhika Balachandar; Shuvom Sadhuka; Bonnie Berger; Emma Pierson; Nikhil Garg 001 (CoRR, 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 001 (CoRR, 2025)