Eluding carnivores: file sharing with strong anonymity. - Emin Gün Sirer; Sharad Goel; Mark Robson; Dogan Engin (ACM SIGOPS European Workshop, 2004)

Yoopick: A Combinatorial Sports Prediction Market. - Sharad Goel; David M. Pennock; Daniel M. Reeves; Cong Yu 001 (AAAI, 2008)

Predictive Indexing for Fast Search. - Sharad Goel; John Langford 001; Alexander L. Strehl (NIPS, 2008)

Pricing combinatorial markets for tournaments. - Yiling Chen 001; Sharad Goel; David M. Pennock (STOC, 2008)

Collective revelation: a mechanism for self-verified, weighted, and truthful predictions. - Sharad Goel; Daniel M. Reeves; David M. Pennock (EC, 2009)

Contract Auctions for Sponsored Search. - Sharad Goel; Sébastien Lahaie; Sergei Vassilvitskii (WINE, 2009)

Social search in "Small-World" experiments. - Sharad Goel; Roby Muhamad; Duncan J. Watts (WWW, 2009)

Impression-plus-click auctions. - Sharad Goel; Sébastien Lahaie; Sergei Vassilvitskii (SIGecom Exch., 2009)

Prediction without markets. - Sharad Goel; Daniel M. Reeves; Duncan J. Watts; David M. Pennock (EC, 2010)

Anatomy of the long tail: ordinary people with extraordinary tastes. - Sharad Goel; Andrei Z. Broder; Evgeniy Gabrilovich; Bo Pang 001 (WSDM, 2010)

Predicting consumer behavior with Web search. - Sharad Goel; Jake M. Hofman; Sébastien Lahaie; David M. Pennock; Duncan J. Watts (Proc. Natl. Acad. Sci. USA, 2010)

TrustBets: betting over an IOU network. - Sharad Goel; David M. Pennock; Mohammad Mahdian; Daniel M. Reeves (AAMAS, 2012)

Who Does What on the Web: A Large-Scale Study of Browsing Behavior. - Sharad Goel; Jake M. Hofman; M. Irmak Sirer (ICWSM, 2012)

The structure of online diffusion networks. - Sharad Goel; Duncan J. Watts; Daniel G. Goldstein (EC, 2012)

Sharding social networks. - Quang Duong 004; Sharad Goel; Jake M. Hofman; Sergei Vassilvitskii (WSDM, 2013)

The Mythical Swing Voter. - David Rothschild; Sharad Goel; Andrew Gelman; Doug Rivers (CoRR, 2014)

Predicting Individual Behavior with Social Networks. - Sharad Goel; Daniel G. Goldstein (Mark. Sci., 2014)

Investigating the "Wisdom of Crowds" at Scale. - Alok Shankar Mysore; Vikas S. Yaligar; Imanol Arrieta Ibarra; Camelia Simoiu; Sharad Goel; Ramesh Arvind; Chiraag Sumanth; Arvind Srikantan; Bhargav HS; Mayank Pahadia; Tushar Dobha; Atif Ahmed; et al. (UIST (Adjunct Volume), 2015)

Understanding Emerging Threats to Online Advertising. - Ceren Budak; Sharad Goel; Justin M. Rao; Georgios Zervas (EC, 2016)

The Effect of Recommendations on Network Structure. - Jessica Su; Aneesh Sharma; Sharad Goel (WWW, 2016)

The Structural Virality of Online Diffusion. - Sharad Goel; Ashton Anderson; Jake M. Hofman; Duncan J. Watts (Manag. Sci., 2016)

Algorithmic Decision Making and the Cost of Fairness. - Sam Corbett-Davies; Emma Pierson; Avi Feller; Sharad Goel; Aziz Huq (KDD, 2017)

Mobilizing the Crowd to Create an Open Repository of Research Talks. - Rajan Vaish; Sharad Goel; Amin Saberi (L@S, 2017)

Crowd Research: Open and Scalable University Laboratories. - Rajan Vaish; Snehalkumar (Neil) S. Gaikwad; Geza Kovacs; Andreas Veit; Ranjay Krishna; Imanol Arrieta Ibarra; Camelia Simoiu; Michael J. Wilber; Serge J. Belongie; Sharad Goel; James Davis 001; Michael S. Bernstein (UIST, 2017)

De-anonymizing Web Browsing Data with Social Networks. - Jessica Su; Ansh Shukla; Sharad Goel; Arvind Narayanan (WWW, 2017)

Fast Threshold Tests for Detecting Discrimination. - Emma Pierson; Sam Corbett-Davies; Sharad Goel (AISTATS, 2018)

Creating Crowdsourced Research Talks at Scale. - Rajan Vaish; Shirish Goyal; Amin Saberi; Sharad Goel (WWW, 2018)

The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning. - Sam Corbett-Davies; Sharad Goel (CoRR, 2018)

Guiding Prosecutorial Decisions with an Interpretable Statistical Model. - Zhiyuan Lin 001; Alex Chohlas-Wood; Sharad Goel (AIES, 2019)

Studying the "Wisdom of Crowds" at Scale. - Camelia Simoiu; Chiraag Sumanth; Alok Shankar Mysore; Sharad Goel (HCOMP, 2019)

"I was told to buy a software or lose my computer. I ignored it": A study of ransomware. - Camelia Simoiu; Joseph Bonneau; Christopher Gates 002; Sharad Goel (SOUPS @ USENIX Security Symposium, 2019)

Designing Equitable Algorithms for the Web. - Ricardo Baeza-Yates; Sharad Goel (WWW (Companion Volume), 2019)

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

Bayesian Sensitivity Analysis for Offline Policy Evaluation. - Jongbin Jung; Ravi Shroff; Avi Feller; Sharad Goel (AIES, 2020)

An Experimental Study of Structural Diversity in Social Networks. - Jessica Su; Krishna Kamath; Aneesh Sharma; Johan Ugander; Sharad Goel (ICWSM, 2020)

Racial disparities in automated speech recognition. - Allison Koenecke; Andrew Nam; Emily Lake; Joe Nudell; Minnie Quartey; Zion Mengesha; Connor Toups; John R. Rickford; Dan Jurafsky; Sharad Goel (Proc. Natl. Acad. Sci. USA, 2020)

Blind Justice: Algorithmically Masking Race in Charging Decisions. - Alex Chohlas-Wood; Joe Nudell; Keniel Yao; Zhiyuan (Jerry) Lin; Julian Nyarko; Sharad Goel (AIES, 2021)

Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data. - Hao Sheng 003; Keniel Yao; Sharad Goel (AIES, 2021)

Breaking Taboos in Fair Machine Learning: An Experimental Study. - Julian Nyarko; Sharad Goel; Roseanna Sommers (EAAMO, 2021)

Probability Paths and the Structure of Predictions over Time. - Zhiyuan (Jerry) Lin; Hao Sheng 003; Sharad Goel (NeurIPS, 2021)

Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making. - Alex Chohlas-Wood; Madison Coots; Emma Brunskill; Sharad Goel (CoRR, 2021)

Bandit algorithms to personalize educational chatbots. - William Cai; Josh Grossman; Zhiyuan (Jerry) Lin; Hao Sheng 003; Johnny Tian-Zheng Wei; Joseph Jay Williams; Sharad Goel (Mach. Learn., 2021)

Adaptive Sampling Strategies to Construct Equitable Training Datasets. - William Cai; Ro Encarnacion; Bobbie Chern; Sam Corbett-Davies; Miranda Bogen; Stevie Bergman; Sharad Goel (FAccT, 2022)

Causal Conceptions of Fairness and their Consequences. - Hamed Nilforoshan; Johann D. Gaebler; Ravi Shroff; Sharad Goel (ICML, 2022)

Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness. - Allison Koenecke; Eric Giannella; Robb Willer; Sharad Goel (ICWSM, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; K. Aditya; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (NeurIPS, 2023)

Risk Scores, Label Bias, and Everything but the Kitchen Sink. - Michael Zanger-Tishler; Julian Nyarko; Sharad Goel (CoRR, 2023)

The Disparate Impacts of College Admissions Policies on Asian American Applicants. - Joshua Grossman; Sabina Tomkins; Lindsay Page; Sharad Goel (CoRR, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (CoRR, 2023)

The Measure and Mismeasure of Fairness. - Sam Corbett-Davies; Johann D. Gaebler; Hamed Nilforoshan; Ravi Shroff; Sharad Goel (J. Mach. Learn. Res., 2023)

Designing equitable algorithms. - Alex Chohlas-Wood; Madison Coots; Sharad Goel; Julian Nyarko (Nat. Comput. Sci., 2023)

Auditing the Use of Language Models to Guide Hiring Decisions. - Johann D. Gaebler; Sharad Goel; Aziz Huq; Prasanna Tambe (CoRR, 2024)

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor. - Keren Ladin; John Cuddeback; O. Kenrik Duru; Sharad Goel; William Harvey 003; Jinny G. Park; Jessica K. Paulus; Joyce Sackey; Richard Sharp; Ewout W. Steyerberg; Berk Ustun; David van Klaveren; et al. (npj Digit. Medicine, 2024)

Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study. - Calvin Isley; Joshua Gilbert; Evangelos Kassos; Michaela Kocher; Allen Nie; Emma Brunskill; Benjamin W. Domingue; Jake Hofman; Joscha Legewie; Teddy Svoronos; Charlotte Tuminelli; Sharad Goel (CoRR, 2025)