Grant Schoenebeck

138 papers A* 40A 14B 1Journal 66Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ad Insertion in LLM-Generated Responses. CoRR Shengwei Xu, Zhaohua Chen, Xiaotie Deng, Zhiyi Huang, Grant Schoenebeck
2026	A*	`conf`	Aggregating Information and Preferences under Different Coordination Ability. WWW Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2026	A*	`conf`	The Art of Two-Round Voting. WWW Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2026	—	`ed.`	Web and Internet Economics - 20th International Conference, WINE 2024, Edinburgh, UK, December 2-5, 2024, Proceedings WINE Marios Mavronicolas, Qi Qi, Grant Schoenebeck
2025	J	`jnl`	Aggregating Information and Preferences with Bounded-Size Deviations. CoRR Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2025	A*	`conf`	Benchmarking LLMs' Judgments with No Gold Standard. ICLR Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong
2025	A	`conf`	Recommendation and Temptation. RecSys Md Sanzeed Anwar, Paramveer S. Dhillon, Grant Schoenebeck
2025	J	`jnl`	Stochastically Dominant Peer Prediction. CoRR Yichi Zhang, Shengwei Xu, David M. Pennock, Grant Schoenebeck
2025	A*	`conf`	Strong Equilibria in Bayesian Games with Bounded Group Size. WWW Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2025	J	`jnl`	Strong Equilibria in Bayesian Games with Bounded Group Size. CoRR Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2025	J	`jnl`	The Art of Two-Round Voting. CoRR Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2025	J	`jnl`	The Ideological Turing Test for Moderation of Outgroup Affective Animosity. CoRR David Gamba, Daniel M. Romero, Grant Schoenebeck
2024	J	`jnl`	Benchmarking LLMs' Judgments with No Gold Standard. CoRR Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong
2024	A*	`conf`	Eliciting Honest Information from Authors Using Sequential Review. AAAI Yichi Zhang, Grant Schoenebeck, Weijie Su
2024	A*	`conf`	Eliciting Informative Text Evaluations with Large Language Models. EC Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, Grant Schoenebeck
2024	J	`jnl`	Eliciting Informative Text Evaluations with Large Language Models. CoRR Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, Grant Schoenebeck
2024	A*	`conf`	Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures. WWW David Gamba, Yulin Yu, Yuan Yuan, Grant Schoenebeck, Daniel M. Romero
2024	J	`jnl`	Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures. CoRR David Gamba, Yulin Yu, Yuan Yuan, Grant Schoenebeck, Daniel M. Romero
2024	A*	`conf`	Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. WWW Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon
2024	J	`jnl`	Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. CoRR Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon
2024	J	`jnl`	Recommendation and Temptation. CoRR Md Sanzeed Anwar, Paramveer S. Dhillon, Grant Schoenebeck
2024	A*	`conf`	Spot Check Equivalence: An Interpretable Metric for Information Elicitation Mechanisms. WWW Shengwei Xu, Yichi Zhang, Paul Resnick, Grant Schoenebeck
2024	J	`jnl`	Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms. CoRR Shengwei Xu, Yichi Zhang, Paul Resnick, Grant Schoenebeck
2023	J	`jnl`	A System-Level Analysis of Conference Peer Review. CoRR Yichi Zhang, Fang-Yi Yu, Grant Schoenebeck, David Kempe
2023	J	`jnl`	Eliciting Honest Information From Authors Using Sequential Review. CoRR Yichi Zhang, Grant Schoenebeck, Weijie Su
2023	A	`conf`	False Consensus, Information Theory, and Prediction Markets. ITCS Yuqing Kong, Grant Schoenebeck
2023	A*	`conf`	High-Effort Crowds: Limited Liability via Tournaments. WWW Yichi Zhang, Grant Schoenebeck
2023	A*	`conf`	Measurement Integrity in Peer Prediction: A Peer Assessment Case Study. EC Noah Burrell, Grant Schoenebeck
2023	A*	`conf`	Multitask Peer Prediction With Task-dependent Strategies. WWW Yichi Zhang, Grant Schoenebeck
2023	A	`conf`	Testing conventional wisdom (of the crowd). UAI Noah Burrell, Grant Schoenebeck
2023	A*	`conf`	The Wisdom of Strategic Voting. EC Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2023	J	`jnl`	The Wisdom of Strategic Voting. CoRR Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia
2022	A*	`conf`	A System-Level Analysis of Conference Peer Review. EC Yichi Zhang, Fang-Yi Yu, Grant Schoenebeck, David Kempe
2022	J	`jnl`	Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization. J. Artif. Intell. Res. Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
2022	A*	`conf`	BONUS! Maximizing Surprise. WWW Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu
2022	J	`jnl`	False Consensus, Information Theory, and Prediction Markets. CoRR Yuqing Kong, Grant Schoenebeck
2022	A	`conf`	Optimal Local Bayesian Differential Privacy over Markov Chains. AAMAS Darshan Chakrabarti, Jie Gao, Aditya Saraf, Grant Schoenebeck, Fang-Yi Yu
2022	J	`jnl`	Optimal Local Bayesian Differential Privacy over Markov Chains. CoRR Darshan Chakrabarti, Jie Gao, Aditya Saraf, Grant Schoenebeck, Fang-Yi Yu
2022	J	`jnl`	Think globally, act locally: On the optimal seeding for nonsubmodular influence maximization. Inf. Comput. Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2022	J	`jnl`	Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question. ACM Trans. Economics and Comput. Grant Schoenebeck, Fang-Yi Yu
2021	J	`jnl`	BONUS! Maximizing Surprise. CoRR Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu
2021	—	`conf`	Bayesian Persuasion in Sequential Trials. WINE Shih-Tang Su, Vijay G. Subramanian, Grant Schoenebeck
2021	J	`jnl`	Bayesian Persuasion in Sequential Trials. CoRR Shih-Tang Su, Vijay G. Subramanian, Grant Schoenebeck
2021	A*	`conf`	Information Elicitation from Rowdy Crowds. WWW Grant Schoenebeck, Fang-Yi Yu, Yichi Zhang
2021	A	`conf`	Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach. ITCS Grant Schoenebeck, Fang-Yi Yu
2021	J	`jnl`	Measurement Integrity in Peer Prediction: A Peer Assessment Case Study. CoRR Noah Burrell, Grant Schoenebeck
2021	A	`conf`	Relaxing Common Belief for Social Networks. ITCS Noah Burrell, Grant Schoenebeck
2021	A*	`conf`	SURPRISE! and When to Schedule It. IJCAI Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck
2021	J	`jnl`	SURPRISE! and When to Schedule It. CoRR Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck
2021	J	`jnl`	Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels. CoRR Paul Resnick, Yuqing Kong, Grant Schoenebeck, Tim Weninger
2021	A	`conf`	Timely Information from Prediction Markets. AAMAS Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu
2021	A*	`conf`	Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences. NeurIPS Grant Schoenebeck, Biaoshuai Tao
2021	J	`jnl`	Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences. CoRR Grant Schoenebeck, Biaoshuai Tao
2020	A*	`conf`	Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization. AAAI Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
2020	A*	`conf`	Escaping Saddle Points in Constant Dimensional Spaces: An Agent-based Modeling Perspective. EC Grant Schoenebeck, Fang-Yi Yu
2020	J	`jnl`	Influence Maximization on Undirected Graphs: Toward Closing the (1-1/e) Gap. ACM Trans. Economics and Comput. Grant Schoenebeck, Biaoshuai Tao
2020	A*	`conf`	Information Elicitation Mechanisms for Statistical Estimation. AAAI Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020	J	`jnl`	Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach. CoRR Grant Schoenebeck, Fang-Yi Yu
2020	A	`conf`	Limitations of Greed: Influence Maximization in Undirected Networks Re-visited. AAMAS Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020	J	`jnl`	Limitations of Greed: Influence Maximization in Undirected Networks Re-visited. CoRR Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020	J	`jnl`	Relaxing Common Belief for Social Networks. CoRR Noah Burrell, Grant Schoenebeck
2020	J	`jnl`	Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization. CoRR Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020	J	`jnl`	Timely Information from Prediction Markets. CoRR Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu
2020	—	`conf`	Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question. WINE Grant Schoenebeck, Fang-Yi Yu
2019	J	`jnl`	Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization. CoRR Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
2019	J	`jnl`	An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. ACM Trans. Economics and Comput. Yuqing Kong, Grant Schoenebeck
2019	J	`jnl`	Beyond Worst-case (In)approximability of Nonsubmodular Influence Maximization. ACM Trans. Comput. Theory Grant Schoenebeck, Biaoshuai Tao
2019	A*	`conf`	Influence Maximization on Undirected Graphs: Towards Closing the (1-1/e) Gap. EC Grant Schoenebeck, Biaoshuai Tao
2019	—	`conf`	Outsourcing Computation: The Minimal Refereed Mechanism. WINE Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao
2019	J	`jnl`	Outsourcing Computation: the Minimal Refereed Mechanism. CoRR Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao
2019	—	`conf`	Social learning with questions. NetEcon@SIGMETRICS Shih-Tang Su, Vijay G. Subramanian, Grant Schoenebeck
2019	A	`conf`	The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks. AAMAS Jie Gao, Grant Schoenebeck, Fang-Yi Yu
2019	—	`conf`	Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization. APPROX-RANDOM Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2018	—	`conf`	Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey
2018	J	`jnl`	Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey
2018	A*	`conf`	Consensus of Interacting Particle Systems on Erdös-Rényi Graphs. SODA Grant Schoenebeck, Fang-Yi Yu
2018	J	`jnl`	Contention-Aware Lock Scheduling for Transactional Databases. Proc. VLDB Endow. Boyu Tian, Jiamin Huang, Barzan Mozafari, Grant Schoenebeck
2018	A*	`conf`	Eliciting Expertise without Verification. EC Yuqing Kong, Grant Schoenebeck
2018	J	`jnl`	Eliciting Expertise without Verification. CoRR Yuqing Kong, Grant Schoenebeck
2018	A	`conf`	Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. ITCS Yuqing Kong, Grant Schoenebeck
2018	A	`conf`	Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case. ITCS Yuqing Kong, Grant Schoenebeck
2018	J	`jnl`	Social Learning with Questions. CoRR Grant Schoenebeck, Shih-Tang Su, Vijay G. Subramanian
2018	A*	`conf`	Water from Two Rocks: Maximizing the Mutual Information. EC Yuqing Kong, Grant Schoenebeck
2018	J	`jnl`	Water from Two Rocks: Maximizing the Mutual Information. CoRR Yuqing Kong, Grant Schoenebeck
2017	—	`conf`	A Top-Down Approach to Achieving Performance Predictability in Database Systems. SIGMOD Conference Jiamin Huang, Barzan Mozafari, Grant Schoenebeck, Thomas F. Wenisch
2017	—	`conf`	Beyond Worst-Case (In)approximability of Nonsubmodular Influence Maximization. WINE Grant Schoenebeck, Biaoshuai Tao
2017	J	`jnl`	Beyond Worst-Case (In)approximability of Nonsubmodular Influence Maximization. CoRR Grant Schoenebeck, Biaoshuai Tao
2017	—	`conf`	Cascades and Myopic Routing in Nonhomogeneous Kleinberg's Small World Model. WINE Jie Gao, Grant Schoenebeck, Fang-Yi Yu
2017	—	`conf`	Don't Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximization. WINE Rico Angell, Grant Schoenebeck
2017	A*	`conf`	Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents. AAAI Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu
2017	J	`jnl`	How Complex Contagions Spread Quickly in Preferential Attachment Models and Other Time-Evolving Networks. IEEE Trans. Netw. Sci. Eng. Roozbeh Ebrahimi, Jie Gao, Golnaz Ghasemiesfeh, Grant Schoenebeck
2016	J	`jnl`	A Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. CoRR Yuqing Kong, Grant Schoenebeck
2016	—	`conf`	Complex Contagions on Configuration Model Graphs with a Power-Law Degree Distribution. WINE Grant Schoenebeck, Fang-Yi Yu
2016	J	`jnl`	Don't Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximization. CoRR Rico Angell, Grant Schoenebeck
2016	J	`jnl`	Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. CoRR Yuqing Kong, Grant Schoenebeck
2016	A*	`conf`	General Threshold Model for Social Cascades: Analysis and Simulations. EC Jie Gao, Golnaz Ghasemiesfeh, Grant Schoenebeck, Fang-Yi Yu
2016	—	`conf`	Putting Peer Prediction Under the Micro(economic)scope and Making Truth-Telling Focal. WINE Yuqing Kong, Katrina Ligett, Grant Schoenebeck
2016	J	`jnl`	Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal. CoRR Yuqing Kong, Grant Schoenebeck, Katrina Ligett
2016	A*	`conf`	Sybil Detection Using Latent Network Structure. EC Grant Schoenebeck, Aaron Snook, Fang-Yi Yu
2015	A	`conf`	Complex Contagions in Kleinberg's Small World Model. ITCS Roozbeh Ebrahimi, Jie Gao, Golnaz Ghasemiesfeh, Grant Schoenebeck
2014	A*	`conf`	Better Approximation Algorithms for the Graph Diameter. SODA Shiri Chechik, Daniel H. Larkin, Liam Roditty, Grant Schoenebeck, Robert Endre Tarjan, Virginia Vassilevska Williams
2014	J	`jnl`	Buying Private Data without Verification. CoRR Arpita Ghosh, Katrina Ligett, Aaron Roth, Grant Schoenebeck
2014	A*	`conf`	Buying private data without verification. EC Arpita Ghosh, Katrina Ligett, Aaron Roth, Grant Schoenebeck
2014	A*	`conf`	Characterizing strategic cascades on networks. EC Travis Martin, Grant Schoenebeck, Michael P. Wellman
2014	J	`jnl`	Complex Contagions in Kleinberg's Small World Model. CoRR Roozbeh Ebrahimi, Jie Gao, Golnaz Ghasemiesfeh, Grant Schoenebeck
2014	J	`jnl`	Graph Isomorphism and the Lasserre Hierarchy. CoRR Aaron Snook, Grant Schoenebeck, Paolo Codenotti
2014	J	`jnl`	How Complex Contagions Spread and Spread Quickly. CoRR Roozbeh Ebrahimi, Jie Gao, Golnaz Ghasemiesfeh, Grant Schoenebeck
2013	J	`jnl`	Characterizing Strategic Cascades on Networks. CoRR Travis Martin, Grant Schoenebeck, Michael P. Wellman
2013	J	`jnl`	Potential Networks, Contagious Communities, and Understanding Social Network Structure CoRR Grant Schoenebeck
2013	A*	`conf`	Potential networks, contagious communities, and understanding social network structure. WWW Grant Schoenebeck
2012	J	`jnl`	Conducting Truthful Surveys, Cheaply CoRR Aaron Roth, Grant Schoenebeck
2012	A*	`conf`	Conducting truthful surveys, cheaply. EC Aaron Roth, Grant Schoenebeck
2012	A*	`conf`	Finding overlapping communities in social networks: toward a rigorous approach. EC Sanjeev Arora, Rong Ge, Sushant Sachdeva, Grant Schoenebeck
2012	J	`jnl`	The Computational Complexity of Nash Equilibria in Concisely Represented Games. ACM Trans. Comput. Theory Grant Schoenebeck, Salil P. Vadhan
2011	J	`jnl`	Finding Overlapping Communities in Social Networks: Toward a Rigorous Approach CoRR Sanjeev Arora, Rong Ge, Sushant Sachdeva, Grant Schoenebeck
2011	B	`conf`	General Hardness Amplification of Predicates and Puzzles - (Extended Abstract). TCC Thomas Holenstein, Grant Schoenebeck
2011	J	`jnl`	Social Learning in a Changing World CoRR Rafael M. Frongillo, Grant Schoenebeck, Omer Tamuz
2011	—	`conf`	Social Learning in a Changing World. WINE Rafael M. Frongillo, Grant Schoenebeck, Omer Tamuz
2010	J	`jnl`	Constrained Non-Monotone Submodular Maximization: Offline and Secretary Algorithms CoRR Anupam Gupta, Aaron Roth, Grant Schoenebeck, Kunal Talwar
2010	—	`conf`	Constrained Non-monotone Submodular Maximization: Offline and Secretary Algorithms. WINE Anupam Gupta, Aaron Roth, Grant Schoenebeck, Kunal Talwar
2010	J	`jnl`	Detecting Spam in a Twitter Network. First Monday Sarita Yardi, Daniel M. Romero, Grant Schoenebeck, danah boyd
2010	J	`jnl`	General Hardness Amplification of Predicates and Puzzles CoRR Thomas Holenstein, Grant Schoenebeck
2010	A*	`conf`	Optimal Testing of Reed-Muller Codes. FOCS Arnab Bhattacharyya, Swastik Kopparty, Grant Schoenebeck, Madhu Sudan, David Zuckerman
2010	—	`ch.`	Optimal Testing of Reed-Muller Codes. Property Testing Arnab Bhattacharyya, Swastik Kopparty, Grant Schoenebeck, Madhu Sudan, David Zuckerman
2010	A	`conf`	Reaching Consensus on Social Networks. ICS Elchanan Mossel, Grant Schoenebeck
2009	A*	`conf`	On the complexity of Nash equilibria of action-graph games. SODA Constantinos Daskalakis, Grant Schoenebeck, Gregory Valiant, Paul Valiant
2009	J	`jnl`	Optimal Testing of Reed-Muller Codes CoRR Arnab Bhattacharyya, Swastik Kopparty, Grant Schoenebeck, Madhu Sudan, David Zuckerman
2009	J	`jnl`	Optimal testing of Reed-Muller codes. Electron. Colloquium Comput. Complex. Arnab Bhattacharyya, Swastik Kopparty, Grant Schoenebeck, Madhu Sudan, David Zuckerman
2008	A*	`conf`	Linear Level Lasserre Lower Bounds for Certain k-CSPs. FOCS Grant Schoenebeck
2008	J	`jnl`	On the Complexity of Nash Equilibria of Action-Graph Games CoRR Constantinos Daskalakis, Grant Schoenebeck, Gregory Valiant, Paul Valiant
2007	A	`conf`	A Linear Round Lower Bound for Lovasz-Schrijver SDP Relaxations of Vertex Cover. CCC Grant Schoenebeck, Luca Trevisan, Madhur Tulsiani
2007	A*	`conf`	Tight integrality gaps for Lovasz-Schrijver LP relaxations of vertex cover and max cut. STOC Grant Schoenebeck, Luca Trevisan, Madhur Tulsiani
2006	J	`jnl`	A Linear Round Lower Bound for Lovasz-Schrijver SDP Relaxations of Vertex Cover. Electron. Colloquium Comput. Complex. Grant Schoenebeck, Luca Trevisan, Madhur Tulsiani
2006	—	`conf`	CHORA: Expert-Based P2P Web Search. AP2PC Halldor Isak Gylfason, Omar Khan, Grant Schoenebeck
2006	A*	`conf`	The computational complexity of nash equilibria in concisely represented games. EC Grant Schoenebeck, Salil P. Vadhan
2006	J	`jnl`	Tight Integrality Gaps for Lovasz-Schrijver LP Relaxations of Vertex Cover and Max Cut. Electron. Colloquium Comput. Complex. Grant Schoenebeck, Luca Trevisan, Madhur Tulsiani
2005	J	`jnl`	The Computational Complexity of Nash Equilibria in Concisely Represented Games Electron. Colloquium Comput. Complex. Grant Schoenebeck, Salil P. Vadhan
2004	A*	`conf`	GROWRANGE: Anytime VCG-Based Mechanisms. AAAI David C. Parkes, Grant Schoenebeck