Nikhil Garg

86 papers A* 18A 4B 1C 1Journal 50Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Many Features Can a Language Model Store Under the Linear Representation Hypothesis?
CoRR
Nikhil Garg, Jon M. Kleinberg, Kenny Peng
2026 J jnl
The Subjectivity of Monoculture.
CoRR
Nathanael Jo, Nikhil Garg, Manish Raghavan
2026 A* conf
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports.
AAAI
Sidhika Balachandar, Shuvom Sadhuka, Bonnie Berger, Emma Pierson, Nikhil Garg
2025 J jnl
'Shopping Around': An Experiment in Preferences and Incentives for Placing Long-term Patients.
Proc. ACM Hum. Comput. Interact.
Vince Bartle, Nicola Dell, Nikhil Garg
2025 A* conf
A No Free Lunch Theorem for Human-AI Collaboration.
AAAI
Kenny Peng, Nikhil Garg, Jon M. Kleinberg
2025 A conf
Balancing Producer Fairness and Efficiency via Prior-Weighted Rating System Design.
ICWSM
Thomas Ma, Michael S. Bernstein, Ramesh Johari, Nikhil Garg
2025 J jnl
Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection.
CoRR
Matt Franchi, Nikhil Garg, Wendy Ju, Emma Pierson
2025 A* conf
Correlated Errors in Large Language Models.
ICML
Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg
2025 J jnl
Correlated Errors in Large Language Models.
CoRR
Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg
2025 J jnl
Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care.
Proc. ACM Hum. Comput. Interact.
Vince Bartle, Ashley Shearer, Alexandra Wroe, Nicola Dell, Nikhil Garg
2025 J jnl
Inferring fine-grained migration patterns across the United States.
CoRR
Gabriel Agostini, Rachel Young, Maria Fitzpatrick, Nikhil Garg, Emma Pierson
2025 — conf
Learning Disease Progression Models That Capture Health Disparities.
CHIL
Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, Emma Pierson
2025 J jnl
Optimizing Library Usage and Browser Experience: Application to the New York Public Library.
CoRR
Zhi Liu, Wenchang Zhu, Sarah Rankin, Nikhil Garg
2025 A* conf
Sparse Autoencoders for Hypothesis Generation.
ICML
Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson
2025 J jnl
Sparse Autoencoders for Hypothesis Generation.
CoRR
Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson
2025 J jnl
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports.
CoRR
Sidhika Balachandar, Shuvom Sadhuka, Bonnie Berger, Emma Pierson, Nikhil Garg
2025 J jnl
Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts.
CoRR
Kenny Peng, Rajiv Movva, Jon M. Kleinberg, Emma Pierson, Nikhil Garg
2024 A* conf
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing.
AAAI
Gabriel Agostini, Emma Pierson, Nikhil Garg
2024 J jnl
A No Free Lunch Theorem for Human-AI Collaboration.
CoRR
Kenny Peng, Nikhil Garg, Jon M. Kleinberg
2024 J jnl
Algorithms for College Admissions Decision Support: Impacts of Policy Change and Inherent Variability.
CoRR
Jinsook Lee, Emma Harvey, Joyce Zhou, Nikhil Garg, Thorsten Joachims, René F. Kizilcec
2024 A* conf
Domain constraints improve risk prediction when outcome data is missing.
ICLR
Sidhika Balachandar, Nikhil Garg, Emma Pierson
2024 — conf
Ending Affirmative Action Harms Diversity Without Improving Academic Merit.
EAAMO
Jinsook Lee, Emma Harvey, Joyce Zhou, Nikhil Garg, Thorsten Joachims, René F. Kizilcec
2024 A* conf
Equitable Congestion Pricing under the Markovian Traffic Model: An Application to Bogota.
EC
Alfredo Torrico, Natthawut Boonsiriphatthanajaroen, Nikhil Garg, Andrea Lodi, Hugo Mainguy
2024 J jnl
Equitable Congestion Pricing under the Markovian Traffic Model: An Application to Bogota.
CoRR
Alfredo Torrico, Natthawut Boonsiriphatthanajaroen, Nikhil Garg, Andrea Lodi, Hugo Mainguy
2024 A* conf
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling.
AAAI
Zhi Liu, Sarah Rankin, Nikhil Garg
2024 J jnl
Learning Disease Progression Models That Capture Health Disparities.
CoRR
Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Nir Uriel, Deborah Estrin, Nikhil Garg, Emma Pierson
2024 A* conf
Monoculture in Matching Markets.
NeurIPS
Kenny Peng, Nikhil Garg
2024 J jnl
Quantifying spatial under-reporting disparities in resident crowdsourcing.
Nat. Comput. Sci.
Zhi Liu, Uma Bhandaram, Nikhil Garg
2024 A* conf
Reconciling the Accuracy-Diversity Trade-off in Recommendations.
WWW
Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg
2024 A* conf
Redesigning Service Level Agreements: Equity and Efficiency in City Government Operations.
EC
Zhi Liu, Nikhil Garg
2024 J jnl
Redesigning Service Level Agreements: Equity and Efficiency in City Government Operations.
CoRR
Zhi Liu, Nikhil Garg
2024 — conf
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers.
NAACL-HLT
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
2024 A* conf
Wisdom and Foolishness of Noisy Matching Markets.
EC
Kenny Peng, Nikhil Garg
2024 J jnl
Wisdom and Foolishness of Noisy Matching Markets.
CoRR
Kenny Peng, Nikhil Garg
2023 J jnl
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing.
CoRR
Gabriel Agostini, Emma Pierson, Nikhil Garg
2023 J jnl
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems.
CoRR
Smitha Milli, Emma Pierson, Nikhil Garg
2023 — conf
Coarse race data conceals disparities in clinical risk score performance.
MLHC
Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
2023 J jnl
Coarse race data conceals disparities in clinical risk score performance.
CoRR
Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
2023 J jnl
Domain constraints improve risk prediction when outcome data is missing.
CoRR
Sidhika Balachandar, Nikhil Garg, Emma Pierson
2023 A conf
Interface Design to Mitigate Inflation in Recommender Systems.
RecSys
Rana Shahout, Yehonatan Peisakhovsky, Sasha Stoikov, Nikhil Garg
2023 J jnl
Interface Design to Mitigate Inflation in Recommender Systems.
CoRR
Rana Shahout, Yehonatan Peisakhovsky, Sasha Stoikov, Nikhil Garg
2023 J jnl
Large language models shape and are shaped by society: A survey of arXiv publication patterns.
CoRR
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
2023 J jnl
Monoculture in Matching Markets.
CoRR
Kenny Peng, Nikhil Garg
2023 J jnl
Reconciling the accuracy-diversity trade-off in recommendations.
CoRR
Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg
2023 A* conf
Supply-Side Equilibria in Recommender Systems.
NeurIPS
Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt
2022 A* conf
Combatting Gerrymandering with Social Choice: The Design of Multi-member Districts.
EC
Nikhil Garg, Wes Gurnee, David Rothschild, David B. Shmoys
2022 J jnl
Driver Surge Pricing.
Manag. Sci.
Nikhil Garg, Hamid Nazerzadeh
2022 A* conf
Equity in Resident Crowdsourcing: Measuring Under-reporting without Ground Truth Data.
EC
Zhi Liu, Nikhil Garg
2022 J jnl
Equity in Resident Crowdsourcing: Measuring Under-reporting without Ground Truth Data.
CoRR
Zhi Liu, Nikhil Garg
2022 — conf
Fair ranking: a critical review, challenges, and future directions.
FAccT
Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg
2022 J jnl
Fair ranking: a critical review, challenges, and future directions.
CoRR
Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg
2022 A conf
Strategic ranking.
AISTATS
Lydia T. Liu, Nikhil Garg, Christian Borgs
2022 J jnl
Supply-Side Equilibria in Recommender Systems.
CoRR
Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt
2022 — conf
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis.
FAccT
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
2022 J jnl
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis.
CoRR
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
2021 J jnl
Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts.
CoRR
Nikhil Garg, Wes Gurnee, David Rothschild, David B. Shmoys
2021 J jnl
Designing Informative Rating Systems: Evidence from an Online Labor Market.
Manuf. Serv. Oper. Manag.
Nikhil Garg, Ramesh Johari
2021 J jnl
Markets for public decision-making.
Soc. Choice Welf.
Nikhil Garg, Ashish Goel, Benjamin Plaut
2021 — conf
Standardized Tests and Affirmative Action: The Role of Bias and Variance.
FAccT
Nikhil Garg, Hannah Li, Faidra Monachou
2021 J jnl
Strategic Ranking.
CoRR
Lydia T. Liu, Nikhil Garg, Christian Borgs
2021 — conf
Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps.
EAAMO
Zhi Liu, Nikhil Garg
2021 J jnl
Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps.
CoRR
Zhi Liu, Nikhil Garg
2021 — conf
The Stereotyping Problem in Collaboratively Filtered Recommender Systems.
EAAMO
Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg
2021 J jnl
The Stereotyping Problem in Collaboratively Filtered Recommender Systems.
CoRR
Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg
2020 A* conf
Designing Informative Rating Systems: Evidence from an Online Labor Market.
EC
Nikhil Garg, Ramesh Johari
2020 A* conf
Driver Surge Pricing.
EC
Nikhil Garg, Hamid Nazerzadeh
2020 C conf
Fair Allocation through Selective Information Acquisition.
AIES
William Cai, Johann Gaebler, Nikhil Garg, Sharad Goel
2020 J jnl
Standardized Tests and Affirmative Action: The Role of Bias and Variance.
CoRR
Nikhil Garg, Hannah Li, Faidra Monachou
2019 — conf
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings.
NAACL-HLT (1)
Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky
2019 J jnl
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings.
CoRR
Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro, Dan Jurafsky
2019 A conf
Designing Optimal Binary Rating Systems.
AISTATS
Nikhil Garg, Ramesh Johari
2019 J jnl
Driver Surge Pricing.
CoRR
Nikhil Garg, Hamid Nazerzadeh
2019 J jnl
Fair Allocation through Selective Information Acquisition.
CoRR
William Cai, Johann Gaebler, Nikhil Garg, Sharad Goel
2019 J jnl
Iterative Local Voting for Collective Decision-making in Continuous Spaces.
J. Artif. Intell. Res.
Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala
2019 B conf
Who Is in Your Top Three? Optimizing Learning in Elections with Many Candidates.
HCOMP
Nikhil Garg, Lodewijk Gelauff, Sukolsak Sakshuwong, Ashish Goel
2019 J jnl
Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates.
CoRR
Nikhil Garg, Lodewijk Gelauff, Sukolsak Sakshuwong, Ashish Goel
2018 J jnl
Designing Informative Rating Systems for Online Platforms: Evidence from Two Experiments.
CoRR
Nikhil Garg, Ramesh Johari
2018 J jnl
Designing Optimal Binary Rating Systems.
CoRR
Nikhil Garg, Ramesh Johari
2018 — conf
Markets for Public Decision-Making.
WINE
Nikhil Garg, Ashish Goel, Benjamin Plaut
2018 J jnl
Markets for Public Decision-making.
CoRR
Nikhil Garg, Ashish Goel, Benjamin Plaut
2018 J jnl
Word embeddings quantify 100 years of gender and ethnic stereotypes.
Proc. Natl. Acad. Sci. USA
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou
2017 A* conf
Collaborative Optimization for Collective Decision-making in Continuous Spaces.
WWW
Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala
2017 J jnl
Collaborative Optimization for Collective Decision-making in Continuous Spaces.
CoRR
Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala
2017 J jnl
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes.
CoRR
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou
2015 — conf
Impact of Dual Slope Path Loss on User Association in HetNets.
GLOBECOM Workshops
Nikhil Garg, Sarabjot Singh, Jeffrey G. Andrews
2015 J jnl
Impact of Dual Slope Path Loss on User Association in HetNets.
CoRR
Nikhil Garg, Sarabjot Singh, Jeffrey G. Andrews