GROWRANGE: Anytime VCG-Based Mechanisms. - David C. Parkes; Grant Schoenebeck (AAAI, 2004)

The Computational Complexity of Nash Equilibria in Concisely Represented Games - Grant Schoenebeck; Salil P. Vadhan (Electron. Colloquium Comput. Complex., 2005)

CHORA: Expert-Based P2P Web Search. - Halldor Isak Gylfason; Omar Khan; Grant Schoenebeck (AP2PC, 2006)

A Linear Round Lower Bound for Lovasz-Schrijver SDP Relaxations of Vertex Cover. - Grant Schoenebeck; Luca Trevisan 001; Madhur Tulsiani (Electron. Colloquium Comput. Complex., 2006)

Tight Integrality Gaps for Lovasz-Schrijver LP Relaxations of Vertex Cover and Max Cut. - Grant Schoenebeck; Luca Trevisan 001; Madhur Tulsiani (Electron. Colloquium Comput. Complex., 2006)

Linear Level Lasserre Lower Bounds for Certain k-CSPs. - Grant Schoenebeck (FOCS, 2008)

On the complexity of Nash equilibria of action-graph games. - Constantinos Daskalakis; Grant Schoenebeck; Gregory Valiant; Paul Valiant (SODA, 2009)

Optimal testing of Reed-Muller codes. - Arnab Bhattacharyya 001; Swastik Kopparty; Grant Schoenebeck; Madhu Sudan 001; David Zuckerman (Electron. Colloquium Comput. Complex., 2009)

Reaching Consensus on Social Networks. - Elchanan Mossel; Grant Schoenebeck (ICS, 2010)

Optimal Testing of Reed-Muller Codes. - Arnab Bhattacharyya 001; Swastik Kopparty; Grant Schoenebeck; Madhu Sudan 001; David Zuckerman (Property Testing, 2010)

Constrained Non-monotone Submodular Maximization: Offline and Secretary Algorithms. - Anupam Gupta 001; Aaron Roth 001; Grant Schoenebeck; Kunal Talwar (WINE, 2010)

General Hardness Amplification of Predicates and Puzzles - Thomas Holenstein; Grant Schoenebeck (CoRR, 2010)

Detecting Spam in a Twitter Network. - Sarita Yardi; Daniel M. Romero; Grant Schoenebeck; danah boyd (First Monday, 2010)

Limitations of Linear and Semidefinite Programs. - Grant Robert Schoenebeck (2010)

General Hardness Amplification of Predicates and Puzzles - (Extended Abstract). - Thomas Holenstein; Grant Schoenebeck (TCC, 2011)

Social Learning in a Changing World. - Rafael M. Frongillo; Grant Schoenebeck; Omer Tamuz (WINE, 2011)

Finding overlapping communities in social networks: toward a rigorous approach. - Sanjeev Arora; Rong Ge 001; Sushant Sachdeva; Grant Schoenebeck (EC, 2012)

Conducting truthful surveys, cheaply. - Aaron Roth 001; Grant Schoenebeck (EC, 2012)

Potential networks, contagious communities, and understanding social network structure. - Grant Schoenebeck (WWW, 2013)

Buying private data without verification. - Arpita Ghosh; Katrina Ligett; Aaron Roth 001; Grant Schoenebeck (EC, 2014)

Characterizing strategic cascades on networks. - Travis Martin; Grant Schoenebeck; Michael P. Wellman (EC, 2014)

Better Approximation Algorithms for the Graph Diameter. - Shiri Chechik; Daniel H. Larkin; Liam Roditty; Grant Schoenebeck; Robert Endre Tarjan; Virginia Vassilevska Williams (SODA, 2014)

How Complex Contagions Spread and Spread Quickly. - Roozbeh Ebrahimi; Jie Gao 001; Golnaz Ghasemiesfeh; Grant Schoenebeck (CoRR, 2014)

Graph Isomorphism and the Lasserre Hierarchy. - Aaron Snook; Grant Schoenebeck; Paolo Codenotti (CoRR, 2014)

Complex Contagions in Kleinberg's Small World Model. - Roozbeh Ebrahimi; Jie Gao 001; Golnaz Ghasemiesfeh; Grant Schoenebeck (ITCS, 2015)

General Threshold Model for Social Cascades: Analysis and Simulations. - Jie Gao 001; Golnaz Ghasemiesfeh; Grant Schoenebeck; Fang-Yi Yu (EC, 2016)

Sybil Detection Using Latent Network Structure. - Grant Schoenebeck; Aaron Snook; Fang-Yi Yu (EC, 2016)

Putting Peer Prediction Under the Micro(economic)scope and Making Truth-Telling Focal. - Yuqing Kong; Katrina Ligett; Grant Schoenebeck (WINE, 2016)

Complex Contagions on Configuration Model Graphs with a Power-Law Degree Distribution. - Grant Schoenebeck; Fang-Yi Yu (WINE, 2016)

A Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. - Yuqing Kong; Grant Schoenebeck (CoRR, 2016)

Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents. - Jie Gao 001; Bo Li 026; Grant Schoenebeck; Fang-Yi Yu (AAAI, 2017)

A Top-Down Approach to Achieving Performance Predictability in Database Systems. - Jiamin Huang; Barzan Mozafari; Grant Schoenebeck; Thomas F. Wenisch (SIGMOD Conference, 2017)

Don't Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximization. - Rico Angell; Grant Schoenebeck (WINE, 2017)

Cascades and Myopic Routing in Nonhomogeneous Kleinberg's Small World Model. - Jie Gao 001; Grant Schoenebeck; Fang-Yi Yu (WINE, 2017)

How Complex Contagions Spread Quickly in Preferential Attachment Models and Other Time-Evolving Networks. - Roozbeh Ebrahimi; Jie Gao 001; Golnaz Ghasemiesfeh; Grant Schoenebeck (IEEE Trans. Netw. Sci. Eng., 2017)

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. - Xingjun Ma; Bo Li 026; Yisen Wang 001; Sarah M. Erfani; Sudanthi N. R. Wijewickrema; Grant Schoenebeck; Dawn Song; Michael E. Houle; James Bailey 001 (ICLR, 2018)

Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. - Yuqing Kong; Grant Schoenebeck (ITCS, 2018)

Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case. - Yuqing Kong; Grant Schoenebeck (ITCS, 2018)

Water from Two Rocks: Maximizing the Mutual Information. - Yuqing Kong; Grant Schoenebeck (EC, 2018)

Eliciting Expertise without Verification. - Yuqing Kong; Grant Schoenebeck (EC, 2018)

Consensus of Interacting Particle Systems on Erdös-Rényi Graphs. - Grant Schoenebeck; Fang-Yi Yu (SODA, 2018)

Contention-Aware Lock Scheduling for Transactional Databases. - Boyu Tian; Jiamin Huang; Barzan Mozafari; Grant Schoenebeck (Proc. VLDB Endow., 2018)

The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks. - Jie Gao 001; Grant Schoenebeck; Fang-Yi Yu (AAMAS, 2019)

Influence Maximization on Undirected Graphs: Towards Closing the (1-1/e) Gap. - Grant Schoenebeck; Biaoshuai Tao (EC, 2019)

Social learning with questions. - Shih-Tang Su; Vijay G. Subramanian; Grant Schoenebeck (NetEcon@SIGMETRICS, 2019)

Outsourcing Computation: The Minimal Refereed Mechanism. - Yuqing Kong; Chris Peikert; Grant Schoenebeck; Biaoshuai Tao (WINE, 2019)

An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. - Yuqing Kong; Grant Schoenebeck (ACM Trans. Economics and Comput., 2019)

Beyond Worst-case (In)approximability of Nonsubmodular Influence Maximization. - Grant Schoenebeck; Biaoshuai Tao (ACM Trans. Comput. Theory, 2019)

Information Elicitation Mechanisms for Statistical Estimation. - Yuqing Kong; Grant Schoenebeck; Biaoshuai Tao; Fang-Yi Yu (AAAI, 2020)

Limitations of Greed: Influence Maximization in Undirected Networks Re-visited. - Grant Schoenebeck; Biaoshuai Tao; Fang-Yi Yu (AAMAS, 2020)

Escaping Saddle Points in Constant Dimensional Spaces: An Agent-based Modeling Perspective. - Grant Schoenebeck; Fang-Yi Yu (EC, 2020)

Influence Maximization on Undirected Graphs: Toward Closing the (1-1/e) Gap. - Grant Schoenebeck; Biaoshuai Tao (ACM Trans. Economics and Comput., 2020)

Timely Information from Prediction Markets. - Grant Schoenebeck; Chenkai Yu; Fang-Yi Yu (AAMAS, 2021)

SURPRISE! and When to Schedule It. - Zhihuan Huang; Shengwei Xu; You Shan; Yuxuan Lu 001; Yuqing Kong; Tracy Xiao Liu; Grant Schoenebeck (IJCAI, 2021)

Relaxing Common Belief for Social Networks. - Noah Burrell; Grant Schoenebeck (ITCS, 2021)

Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach. - Grant Schoenebeck; Fang-Yi Yu (ITCS, 2021)

Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences. - Grant Schoenebeck; Biaoshuai Tao (NeurIPS, 2021)

Bayesian Persuasion in Sequential Trials. - Shih-Tang Su; Vijay G. Subramanian; Grant Schoenebeck (WINE, 2021)

Information Elicitation from Rowdy Crowds. - Grant Schoenebeck; Fang-Yi Yu; Yichi Zhang 003 (WWW, 2021)

Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels. - Paul Resnick; Yuqing Kong; Grant Schoenebeck; Tim Weninger (CoRR, 2021)

Optimal Local Bayesian Differential Privacy over Markov Chains. - Darshan Chakrabarti; Jie Gao 001; Aditya Saraf; Grant Schoenebeck; Fang-Yi Yu (AAMAS, 2022)

A System-Level Analysis of Conference Peer Review. - Yichi Zhang 003; Fang-Yi Yu; Grant Schoenebeck; David Kempe 001 (EC, 2022)

BONUS! Maximizing Surprise. - Zhihuan Huang; Yuqing Kong; Tracy Xiao Liu; Grant Schoenebeck; Shengwei Xu (WWW, 2022)

Think globally, act locally: On the optimal seeding for nonsubmodular influence maximization. - Grant Schoenebeck; Biaoshuai Tao; Fang-Yi Yu (Inf. Comput., 2022)

Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization. - Wei Chen 013; Binghui Peng; Grant Schoenebeck; Biaoshuai Tao (J. Artif. Intell. Res., 2022)

Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question. - Grant Schoenebeck; Fang-Yi Yu (ACM Trans. Economics and Comput., 2022)

False Consensus, Information Theory, and Prediction Markets. - Yuqing Kong; Grant Schoenebeck (ITCS, 2023)

Measurement Integrity in Peer Prediction: A Peer Assessment Case Study. - Noah Burrell; Grant Schoenebeck (EC, 2023)

The Wisdom of Strategic Voting. - Qishen Han; Grant Schoenebeck; Biaoshuai Tao; Lirong Xia (EC, 2023)

Testing conventional wisdom (of the crowd). - Noah Burrell; Grant Schoenebeck (UAI, 2023)

Multitask Peer Prediction With Task-dependent Strategies. - Yichi Zhang 003; Grant Schoenebeck (WWW, 2023)

High-Effort Crowds: Limited Liability via Tournaments. - Yichi Zhang 003; Grant Schoenebeck (WWW, 2023)

Eliciting Honest Information from Authors Using Sequential Review. - Yichi Zhang 003; Grant Schoenebeck; Weijie Su 001 (AAAI, 2024)

Eliciting Informative Text Evaluations with Large Language Models. - Yuxuan Lu 001; Shengwei Xu; Yichi Zhang 003; Yuqing Kong; Grant Schoenebeck (EC, 2024)

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. - Md Sanzeed Anwar; Grant Schoenebeck; Paramveer S. Dhillon (WWW, 2024)

Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures. - David Gamba; Yulin Yu; Yuan Yuan 016; Grant Schoenebeck; Daniel M. Romero (WWW, 2024)

Spot Check Equivalence: An Interpretable Metric for Information Elicitation Mechanisms. - Shengwei Xu; Yichi Zhang 003; Paul Resnick; Grant Schoenebeck (WWW, 2024)

Recommendation and Temptation. - Md Sanzeed Anwar; Paramveer S. Dhillon; Grant Schoenebeck (CoRR, 2024)

Benchmarking LLMs' Judgments with No Gold Standard. - Shengwei Xu; Yuxuan Lu 001; Grant Schoenebeck; Yuqing Kong (ICLR, 2025)

Strong Equilibria in Bayesian Games with Bounded Group Size. - Qishen Han; Grant Schoenebeck; Biaoshuai Tao; Lirong Xia (WWW, 2025)

The Art of Two-Round Voting. - Qishen Han; Grant Schoenebeck; Biaoshuai Tao; Lirong Xia (CoRR, 2025)

Aggregating Information and Preferences with Bounded-Size Deviations. - Qishen Han; Grant Schoenebeck; Biaoshuai Tao; Lirong Xia (CoRR, 2025)

Stochastically Dominant Peer Prediction. - Yichi Zhang 003; Shengwei Xu; David M. Pennock; Grant Schoenebeck (CoRR, 2025)