Kevin Leyton-Brown

225 papers A* 68A 16B 2C 2Journal 98Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games. AAAI Greg d'Eon, Hala Murad, Kevin Leyton-Brown, James R. Wright
2026	A*	`conf`	Practical, Utilitarian Algorithm Configuration. AAAI Devon R. Graham, Eros Rojas Velez, Kevin Leyton-Brown
2025	J	`jnl`	Efficient Individually Rational Recommender System under Stochastic Order. CoRR Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2025	J	`jnl`	ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games. CoRR Greg d'Eon, Hala Murad, Kevin Leyton-Brown, James R. Wright
2025	J	`jnl`	How Malicious AI Swarms Can Threaten Democracy. CoRR Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli, Nick Bostrom, Nicholas A. Christakis, David García, Amit Goldenberg, Yara Kyrychenko, Kevin Leyton-Brown, Nina Lutz, Gary Marcus, Filippo Menczer, Gordon Pennycook, David G. Rand, Frank Schweitzer, Christopher Summerfield, Audrey Tang, Jay J. Van Bavel, Sander van der Linden, Dawn Song, Jonas R. Kunst
2025	A*	`conf`	NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants. WWW Taylor Lundy, Narun K. Raman, Scott Duke Kominers, Kevin Leyton-Brown
2025	J	`jnl`	NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants. CoRR Taylor Lundy, Narun K. Raman, Scott Duke Kominers, Kevin Leyton-Brown
2025	B	`conf`	Near-Linear MIR Algorithms for Stochastically-Ordered Priors. SAGT Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2025	J	`jnl`	Practical, Utilitarian Algorithm Configuration. CoRR Devon R. Graham, Kevin Leyton-Brown
2025	J	`jnl`	Reasoning Models are Test Exploiters: Rethinking Multiple-Choice. CoRR Narun K. Raman, Taylor Lundy, Kevin Leyton-Brown
2025	J	`jnl`	STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models. CoRR Narun K. Raman, Taylor Lundy, Thiago Amin, Jesse Perla, Kevin Leyton-Brown
2025	A*	`conf`	Utilitarian Algorithm Configuration for Infinite Parameter Spaces. ICLR Devon R. Graham, Kevin Leyton-Brown
2024	—	`conf`	Agora: Motivating and Measuring Engagement in Large-Class Discussions. ITiCSE (1) Hedayat Zarkoob, Siddharth Nand, Kevin Leyton-Brown, Giulia Toti
2024	—	`conf`	Generating Benchmarks for Factuality Evaluation of Language Models. EACL (1) Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
2024	A*	`conf`	How to Evaluate Behavioral Models. AAAI Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright
2024	J	`jnl`	Incentive Auction Design Alternatives: A Simulation Study. Manag. Sci. Neil Newman, Kevin Leyton-Brown, Paul Milgrom, Ilya Segal
2024	J	`jnl`	Matching papers and reviewers at large conferences. Artif. Intell. Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
2024	—	`conf`	Mechanical TA 2: Peer Grading with TA and Algorithmic Support. SIGCSE (1) Hedayat Zarkoob, Kevin Leyton-Brown
2024	A*	`conf`	Pay to (Not) Play: Monetizing Impatience in Mobile Games. AAAI Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown
2024	J	`jnl`	Rationality Report Cards: Assessing the Economic Rationality of Large Language Models. CoRR Narun K. Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
2024	A*	`conf`	STEER: Assessing the Economic Rationality of Large Language Models. ICML Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
2024	—	`conf`	UNSAT Solver Synthesis via Monte Carlo Forest Search. CPAIOR (1) Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown
2024	A*	`conf`	Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning. EC Greg d'Eon, Neil Newman, Kevin Leyton-Brown
2024	J	`jnl`	Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning. CoRR Greg d'Eon, Neil Newman, Kevin Leyton-Brown
2024	J	`jnl`	Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models. CoRR Kevin Leyton-Brown, Yoav Shoham
2024	J	`jnl`	Utilitarian Algorithm Configuration for Infinite Parameter Spaces. CoRR Devon R. Graham, Kevin Leyton-Brown
2024	J	`jnl`	What Can Natural Language Processing Do for Peer Review? CoRR Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych
2023	A*	`conf`	Better Peer Grading through Bayesian Inference. AAAI Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown
2023	A*	`conf`	Formalizing Preferences Over Runtime Distributions. ICML Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden
2023	J	`jnl`	Generating Benchmarks for Factuality Evaluation of Language Models. CoRR Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
2023	J	`jnl`	In-Context Retrieval-Augmented Language Models. CoRR Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2023	J	`jnl`	In-Context Retrieval-Augmented Language Models. Trans. Assoc. Comput. Linguistics Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2023	J	`jnl`	Loss Functions for Behavioral Game Theory. CoRR Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright
2023	—	`conf`	Parallel Context Windows for Large Language Models. ACL (1) Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2023	J	`jnl`	Pay to (Not) Play: Monetizing Impatience in Mobile Games. CoRR Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown
2023	A*	`ed.`	Proceedings of the 24th ACM Conference on Economics and Computation, EC 2023, London, United Kingdom, July 9-12, 2023 EC Kevin Leyton-Brown, Jason D. Hartline, Larry Samuelson
2023	A*	`conf`	Utilitarian Algorithm Configuration. NeurIPS Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden
2023	J	`jnl`	Utilitarian Algorithm Configuration. CoRR Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden
2022	J	`jnl`	Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller
2022	J	`jnl`	Better Peer Grading through Bayesian Inference. CoRR Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown
2022	J	`jnl`	Formalizing Preferences Over Runtime Distributions. CoRR Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden
2022	J	`jnl`	MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. CoRR Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, Dor Muhlgay, Noam Rozen, Erez Schwartz, Gal Shachaf, Shai Shalev-Shwartz, Amnon Shashua, Moshe Tennenholtz
2022	J	`jnl`	Matching Papers and Reviewers at Large Conferences. CoRR Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
2022	J	`jnl`	Monte Carlo Forest Search: UNSAT Solver Synthesis via Reinforcement learning. CoRR Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown
2022	J	`jnl`	Parallel Context Windows Improve In-Context Learning of Large Language Models. CoRR Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2022	J	`jnl`	Standing on the Shoulders of Giant Frozen Language Models. CoRR Yoav Levine, Itay Dalmedigos, Ori Ram, Yoel Zeldes, Daniel Jannai, Dor Muhlgay, Yoni Osin, Opher Lieber, Barak Lenz, Shai Shalev-Shwartz, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2022	J	`jnl`	The New Faculty Highlights Program at AAAI-21. AI Mag. Kevin Leyton-Brown, Mausam, Qiang Yang
2022	A*	`conf`	The Perils of Learning Before Optimizing. AAAI Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown
2022	—	`conf`	The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. FAccT Greg d'Eon, Jason d'Eon, James R. Wright, Kevin Leyton-Brown
2021	—	`ch.`	Automated Configuration and Selection of SAT Solvers. Handbook of Satisfiability Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2021	J	`jnl`	Mechanical TA 2: A System for Peer Grading with TA Support. CoRR Hedayat Zarkoob, Farzad Abdolhosseini, Kevin Leyton-Brown
2021	A*	`conf`	PMI-Masking: Principled masking of correlated spans. ICLR Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
2021	J	`jnl`	The Perils of Learning Before Optimizing. CoRR Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown
2021	J	`jnl`	The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. CoRR Greg d'Eon, Jason d'Eon, James R. Wright, Kevin Leyton-Brown
2021	A*	`conf`	Valid Causal Inference with (Some) Invalid Instruments. ICML Jason S. Hartford, Victor Veitch, Dhanya Sridhar, Kevin Leyton-Brown
2020	A*	`conf`	A Formal Separation Between Strategic and Nonstrategic Behavior. EC James R. Wright, Kevin Leyton-Brown
2020	—	`conf`	Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates. WINE Natalie Collina, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Neil Newman
2020	J	`jnl`	Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates. CoRR Natalie Collina, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Neil Newman
2020	A*	`conf`	Exemplar Guided Active Learning. NeurIPS Jason S. Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev, Barak Lenz
2020	J	`jnl`	Exemplar Guided Active Learning. CoRR Jason S. Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev, Barak Lenz
2020	A*	`conf`	Fiduciary Bandits. ICML Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2020	A*	`conf`	ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool. NeurIPS Gellért Weisz, András György, Wei-I Lin, Devon R. Graham, Kevin Leyton-Brown, Csaba Szepesvári, Brendan Lucier
2020	A*	`conf`	Incentive Auction Design Alternatives: A Simulation Study. EC Neil Newman, Kevin Leyton-Brown, Paul Milgrom, Ilya Segal
2020	A*	`conf`	Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). IJCAI Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
2020	J	`jnl`	Learning under Invariable Bayesian Safety. CoRR Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2020	J	`jnl`	PMI-Masking: Principled masking of correlated spans. CoRR Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
2020	A*	`conf`	Predicting Propositional Satisfiability via End-to-End Learning. AAAI Chris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown
2020	A	`conf`	Report-Sensitive Spot-Checking in Peer-Grading Systems. AAMAS Hedayat Zarkoob, Hu Fu, Kevin Leyton-Brown
2020	J	`jnl`	Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver. CoRR Devon R. Graham, Satish Kumar Sarraf, Taylor Lundy, Ali MohammadMehr, Sara Uppal, Tae-Yoon Lee, Hedayat Zarkoob, Scott Duke Kominers, Kevin Leyton-Brown
2020	J	`jnl`	Valid Causal Inference with (Some) Invalid Instruments. CoRR Jason S. Hartford, Victor Veitch, Dhanya Sridhar, Kevin Leyton-Brown
2019	A*	`conf`	Allocation for Social Good: Auditing Mechanisms for Utility Maximization. EC Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers, Kevin Leyton-Brown
2019	—	`ch.`	Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA. Automated Machine Learning Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2019	J	`jnl`	Fiduciary Bandits. CoRR Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2019	J	`jnl`	Incentivizing evaluation with peer prediction and limited access to ground truth. Artif. Intell. Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
2019	J	`jnl`	Level-0 Models for Predicting Human Behavior in Games. J. Artif. Intell. Res. James R. Wright, Kevin Leyton-Brown
2019	J	`jnl`	Operations Research Enables Auction to Repurpose Television Spectrum for Next-Generation Wireless Technologies. INFORMS J. Appl. Anal. Jean L. Kiddoo, Evan Kwerel, Sasha Javid, Melissa Dunford, Gary M. Epstein, Charles E. Meisch Jr., Karla L. Hoffman, Brian B. Smith, Anthony B. Coudert, Rudy K. Sultana, James A. Costa, Steven Charbonneau, Michael A. Trick, Ilya Segal, Kevin Leyton-Brown, Neil Newman, Alexandre Fréchette, Dinesh Menon, Paul Salasznyk
2019	A*	`conf`	Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration. NeurIPS Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier, Devon R. Graham
2019	J	`jnl`	Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration. CoRR Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier, Devon R. Graham
2019	J	`jnl`	Report-Sensitive Spot-Checking in Peer-Grading Systems. CoRR Hedayat Zarkoob, Hu Fu, Kevin Leyton-Brown
2019	A	`conf`	Report-Sensitive Spot-checking in Peer Grading Systems. AAMAS Hedayat Zarkoob, Hu Fu, Kevin Leyton-Brown
2018	J	`jnl`	Artificial intelligence in 2027. AI Matters Maria L. Gini, Noa Agmon, Fausto Giunchiglia, Sven Koenig, Kevin Leyton-Brown
2018	A*	`conf`	Deep Models of Interactions Across Sets. ICML Jason S. Hartford, Devon R. Graham, Kevin Leyton-Brown, Siamak Ravanbakhsh
2018	J	`jnl`	Deep Models of Interactions Across Sets. CoRR Jason S. Hartford, Devon R. Graham, Kevin Leyton-Brown, Siamak Ravanbakhsh
2018	J	`jnl`	Deep optimization for spectrum repacking. Commun. ACM Neil Newman, Alexandre Fréchette, Kevin Leyton-Brown
2018	C	`conf`	Designing and Evolving an Electronic Agricultural Marketplace in Uganda. COMPASS Neil Newman, Lauren Falcao Bergquist, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Craig McIntosh, John A. Quinn, Richard Ssekibuule
2018	J	`jnl`	Efficient benchmarking of algorithm configurators via model-based surrogates. Mach. Learn. Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2018	J	`jnl`	Formalizing the Boundary Between Strategic and Nonstrategic Reasoning. CoRR James R. Wright, Kevin Leyton-Brown
2018	A*	`conf`	Quantifying Algorithmic Improvements over Time. IJCAI Lars Kotthoff, Alexandre Fréchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
2018	—	`ch.`	Selection and Configuration of Parallel Portfolios. Handbook of Parallel Constraint Reasoning Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2017	J	`jnl`	Assessing Economic Outcomes in Simulated Reverse Clock Auctions for Radio Spectrum. CoRR Neil Newman, Kevin Leyton-Brown, Paul Milgrom, Ilya Segal
2017	J	`jnl`	Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA. J. Mach. Learn. Res. Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2017	J	`jnl`	Automatic construction of parallel portfolios via algorithm configuration. Artif. Intell. Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Torsten Schaub
2017	J	`jnl`	Computational analysis of perfect-information position auctions. Games Econ. Behav. David R. M. Thompson, Kevin Leyton-Brown
2017	A*	`conf`	Deep IV: A Flexible Approach for Counterfactual Prediction. ICML Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy
2017	J	`jnl`	Deep Optimization for Spectrum Repacking. CoRR Neil Newman, Alexandre Fréchette, Kevin Leyton-Brown
2017	J	`jnl`	Economics and computer science of a radio spectrum reallocation. Proc. Natl. Acad. Sci. USA Kevin Leyton-Brown, Paul Milgrom, Ilya Segal
2017	A*	`conf`	Efficiency Through Procrastination: Approximately Optimal Algorithm Configuration with Runtime Guarantees. IJCAI Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier
2017	J	`jnl`	Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates. CoRR Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
2017	—	`conf`	OASC-2017: *Zilla Submission. OASC Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown, Frank Hutter
2017	J	`jnl`	Predicting human behavior in unrepeated, simultaneous-move games. Games Econ. Behav. James R. Wright, Kevin Leyton-Brown
2017	A*	`conf`	Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces. AAAI Albert Xin Jiang, Hau Chan, Kevin Leyton-Brown
2017	J	`jnl`	The Configurable SAT Solver Challenge (CSSC). Artif. Intell. Frank Hutter, Marius Lindauer, Adrian Balint, Sam Bayless, Holger H. Hoos, Kevin Leyton-Brown
2017	A*	`conf`	The Positronic Economist: A Computational System for Analyzing Economic Mechanisms. AAAI David R. M. Thompson, Neil Newman, Kevin Leyton-Brown
2016	J	`jnl`	ASlib: A benchmark library for algorithm selection. Artif. Intell. Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren
2016	A*	`conf`	Bias in Algorithm Portfolio Performance Evaluation. IJCAI Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown
2016	J	`jnl`	Counterfactual Prediction with Deep Instrumental Variables Networks. CoRR Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy
2016	—	`conf`	Deep Learning for Predicting Human Strategic Behavior. NIPS Jason S. Hartford, James R. Wright, Kevin Leyton-Brown
2016	J	`jnl`	Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse. CoRR Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
2016	J	`jnl`	Models of Level-0 Behavior for Predicting Human Behavior in Games. CoRR James R. Wright, Kevin Leyton-Brown
2016	—	`conf`	Multilinear Games. WINE Hau Chan, Albert Xin Jiang, Kevin Leyton-Brown, Ruta Mehta
2016	—	`conf`	Quantifying the Similarity of Algorithm Configurations. LION Lin Xu, Ashiqur R. KhudaBukhsh, Holger H. Hoos, Kevin Leyton-Brown
2016	J	`jnl`	SATenstein: Automatically building local search SAT solvers from components. Artif. Intell. Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2016	A*	`conf`	Solving the Station Repacking Problem. AAAI Alexandre Fréchette, Neil Newman, Kevin Leyton-Brown
2016	A*	`conf`	Using the Shapley Value to Analyze Algorithm Portfolios. AAAI Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
2015	J	`jnl`	ASlib: A Benchmark Library for Algorithm Selection. CoRR Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren
2015	A*	`conf`	Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract). IJCAI Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2015	A*	`conf`	Efficient Benchmarking of Hyperparameter Optimizers via Surrogates. AAAI Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2015	J	`jnl`	Introduction to the Special Issue on EC'12. ACM Trans. Economics and Comput. Kevin Leyton-Brown, Panagiotis G. Ipeirotis
2015	A	`conf`	Mechanical TA: Partially Automated High-Stakes Peer Grading. SIGCSE James R. Wright, Chris Thornton, Kevin Leyton-Brown
2015	J	`jnl`	Polynomial-time computation of exact correlated equilibrium in compact games. Games Econ. Behav. Albert Xin Jiang, Kevin Leyton-Brown
2015	J	`jnl`	The Configurable SAT Solver Challenge (CSSC). CoRR Frank Hutter, Marius Lindauer, Adrian Balint, Sam Bayless, Holger H. Hoos, Kevin Leyton-Brown
2014	—	`conf`	AClib: A Benchmark Library for Algorithm Configuration. LION Frank Hutter, Manuel López-Ibáñez, Chris Fawcett, Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle
2014	—	`conf`	Algorithm Configuration in the Cloud: A Feasibility Study. LION Daniel Geschwender, Frank Hutter, Lars Kotthoff, Yuri Malitsky, Holger H. Hoos, Kevin Leyton-Brown
2014	J	`jnl`	Algorithm runtime prediction: Methods & evaluation. Artif. Intell. Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2014	A*	`conf`	An Efficient Approach for Assessing Hyperparameter Importance. ICML Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2014	J	`jnl`	Computational Analysis of Perfect-Information Position Auctions. CoRR David R. M. Thompson, Kevin Leyton-Brown
2014	J	`jnl`	Empirically Evaluating Multiagent Learning Algorithms. CoRR Erik Zawadzki, Asher Lipson, Kevin Leyton-Brown
2014	A*	`conf`	Improved Features for Runtime Prediction of Domain-Independent Planners. ICAPS Chris Fawcett, Mauro Vallati, Frank Hutter, Jörg Hoffmann, Holger H. Hoos, Kevin Leyton-Brown
2014	J	`jnl`	Introduction. Games Econ. Behav. Michal Feldman, Kevin Leyton-Brown
2014	A*	`conf`	Level-0 meta-models for predicting human behavior in games. EC James R. Wright, Kevin Leyton-Brown
2014	J	`jnl`	ParamILS: An Automatic Algorithm Configuration Framework. CoRR Frank Hutter, Thomas Stützle, Kevin Leyton-Brown, Holger H. Hoos
2014	A*	`conf`	Pragmatic algorithmic game theory. EC Kevin Leyton-Brown
2014	A*	`conf`	Reasoning about optimal stable matchings under partial information. EC Baharak Rastegari, Anne Condon, Nicole Immorlica, Robert W. Irving, Kevin Leyton-Brown
2014	—	`conf`	Surrogate Benchmarks for Hyperparameter Optimization. MetaSel@ECAI Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2014	J	`jnl`	Understanding the empirical hardness of Commun. ACM Kevin Leyton-Brown, Holger H. Hoos, Frank Hutter, Lin Xu
2013	—	`conf`	A mobile market for agricultural trade in Uganda. ACM DEV (4) Richard Ssekibuule, John A. Quinn, Kevin Leyton-Brown
2013	—	`conf`	An evaluation of sequential model-based optimization for expensive blackbox functions. GECCO (Companion) Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2013	A*	`conf`	Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms. KDD Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2013	J	`jnl`	Bayesian Optimization With Censored Response Data. CoRR Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2013	A	`conf`	Empirical analysis of plurality election equilibria. AAMAS David R. M. Thompson, Omer Lev, Kevin Leyton-Brown, Jeffrey S. Rosenschein
2013	J	`jnl`	Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games. CoRR James R. Wright, Kevin Leyton-Brown
2013	—	`conf`	Identifying Key Algorithm Parameters and Instance Features Using Forward Selection. LION Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2013	A*	`conf`	Revenue optimization in the generalized second-price auction. EC David R. M. Thompson, Kevin Leyton-Brown
2013	A*	`conf`	Two-sided matching with partial information. EC Baharak Rastegari, Anne Condon, Nicole Immorlica, Kevin Leyton-Brown
2012	—	`conf`	A Study of Phase Transitions in Security Games. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health Manish Jain, Kevin Leyton-Brown, Milind Tambe
2012	J	`jnl`	Algorithm Runtime Prediction: The State of the Art CoRR Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2012	A*	`conf`	Approximately Revenue-Maximizing Auctions for Deliberative Agents. AAAI L. Elisa Celis, Anna R. Karlin, Kevin Leyton-Brown, C. Thach Nguyen, David R. M. Thompson
2012	J	`jnl`	Auto-WEKA: Automated Selection and Hyper-Parameter Optimization of Classification Algorithms CoRR Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2012	A	`conf`	Behavioral game theoretic models: a Bayesian framework for parameter analysis. AAMAS James R. Wright, Kevin Leyton-Brown
2012	J	`jnl`	Computing Nash Equilibria of Action-Graph Games CoRR Navin A. R. Bhat, Kevin Leyton-Brown
2012	A	`conf`	Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors. SAT Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2012	—	`conf`	Parallel Algorithm Configuration. LION Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2012	A*	`conf`	Predicting Satisfiability at the Phase Transition. AAAI Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2012	A*	`ed.`	Proceedings of the 13th ACM Conference on Electronic Commerce, EC 2012, Valencia, Spain, June 4-8, 2012 EC Boi Faltings, Kevin Leyton-Brown, Panos Ipeirotis
2012	J	`jnl`	TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems Using Game Theory. AI Mag. Zhengyu Yin, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, John P. Sullivan
2012	C	`conf`	TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems. IAAI Zhengyu Yin, Albert Xin Jiang, Matthew Paul Johnson, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, Milind Tambe, John P. Sullivan
2012	J	`jnl`	Temporal Action-Graph Games: A New Representation for Dynamic Games CoRR Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer
2012	A*	`conf`	The Deployment-to-Saturation Ratio in Security Games. AAAI Manish Jain, Kevin Leyton-Brown, Milind Tambe
2012	—	`conf`	Towards Optimal Patrol Strategies for Fare Inspection in Transit Systems. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health Albert Xin Jiang, Zhengyu Yin, Matthew P. Johnson, Milind Tambe, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm
2011	J	`jnl`	A General Framework for Computing Optimal Correlated Equilibria in Compact Games CoRR Albert Xin Jiang, Kevin Leyton-Brown
2011	—	`conf`	A General Framework for Computing Optimal Correlated Equilibria in Compact Games - (Extended Abstract). WINE Albert Xin Jiang, Kevin Leyton-Brown
2011	J	`jnl`	Action-Graph Games. Games Econ. Behav. Albert Xin Jiang, Kevin Leyton-Brown, Navin A. R. Bhat
2011	—	`conf`	Computing Nash Equilibria of Action-Graph Games via Support Enumeration. WINE David R. M. Thompson, Samantha Leung, Kevin Leyton-Brown
2011	A*	`conf`	Dominant-Strategy Auction Design for Agents with Uncertain, Private Values. AAAI David R. M. Thompson, Kevin Leyton-Brown
2011	—	`conf`	HAL: A Framework for the Automated Analysis and Design of High-Performance Algorithms. LION Christopher Nell, Chris Fawcett, Holger H. Hoos, Kevin Leyton-Brown
2011	J	`jnl`	Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in SIGecom Exch. James R. Wright, Albert Xin Jiang, Kevin Leyton-Brown
2011	A*	`conf`	Modeling and Monitoring Crop Disease in Developing Countries. AAAI John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze
2011	J	`jnl`	Polynomial computation of exact correlated equilibrium in compact games. SIGecom Exch. Albert Xin Jiang, Kevin Leyton-Brown
2011	A*	`conf`	Polynomial-time computation of exact correlated equilibrium in compact games. EC Albert Xin Jiang, Kevin Leyton-Brown
2011	J	`jnl`	Revenue monotonicity in deterministic, dominant-strategy combinatorial auctions. Artif. Intell. Baharak Rastegari, Anne Condon, Kevin Leyton-Brown
2011	J	`jnl`	SATzilla: Portfolio-based Algorithm Selection for SAT CoRR Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2011	—	`conf`	Sequential Model-Based Optimization for General Algorithm Configuration. LION Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2010	J	`jnl`	Algorithmic Game Theory and Artificial Intelligence. AI Mag. Edith Elkind, Kevin Leyton-Brown
2010	B	`conf`	Automated Configuration of Mixed Integer Programming Solvers. CPAIOR Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2010	—	`conf`	Bayesian Action-Graph Games. NIPS Albert Xin Jiang, Kevin Leyton-Brown
2010	A*	`conf`	Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games. AAAI James R. Wright, Kevin Leyton-Brown
2010	A*	`conf`	Comparing Position Auctions Computationally. AAAI David Robert Martin Thompson, Kevin Leyton-Brown
2010	A*	`conf`	Computing pure strategy nash equilibria in compact symmetric games. EC Christopher Thomas Ryan, Albert Xin Jiang, Kevin Leyton-Brown
2010	A*	`conf`	Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection. AAAI Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2010	J	`jnl`	Polynomial-time Computation of Exact Correlated Equilibrium in Compact Games CoRR Albert Xin Jiang, Kevin Leyton-Brown
2010	—	`ch.`	Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches. Experimental Methods for the Analysis of Optimization Algorithms Frank Hutter, Thomas Bartz-Beielstein, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy
2010	—	`conf`	Symmetric games with piecewise linear utilities. BQGT Christopher Thomas Ryan, Albert Xin Jiang, Kevin Leyton-Brown
2010	—	`conf`	Time-Bounded Sequential Parameter Optimization. LION Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy
2010	J	`jnl`	Tradeoffs in the empirical evaluation of competing algorithm designs. Ann. Math. Artif. Intell. Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2009	A	`conf`	An experimental investigation of model-based parameter optimisation: SPO and beyond. GECCO Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy
2009	A*	`conf`	Computational analysis of perfect-information position auctions. EC David Robert Martin Thompson, Kevin Leyton-Brown
2009	J	`jnl`	Empirical hardness models: Methodology and a case study on combinatorial auctions. J. ACM Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham
2009	—	`book`	Multiagent Systems - Algorithmic, Game-Theoretic, and Logical Foundations. Yoav Shoham, Kevin Leyton-Brown
2009	J	`jnl`	ParamILS: An Automatic Algorithm Configuration Framework. J. Artif. Intell. Res. Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle
2009	A*	`conf`	SATenstein: Automatically Building Local Search SAT Solvers from Components. IJCAI Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2009	A*	`conf`	Stepwise randomized combinatorial auctions achieve revenue monotonicity. SODA Baharak Rastegari, Anne Condon, Kevin Leyton-Brown
2009	A	`conf`	Temporal Action-Graph Games: A New Representation for Dynamic Games. UAI Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer
2008	J	`jnl`	Book announcements: multiagent systems and essentials of game theory. SIGecom Exch. Kevin Leyton-Brown, Yoav Shoham
2008	—	`book`	Essentials of Game Theory: A Concise Multidisciplinary Introduction Essentials of Game Theory Kevin Leyton-Brown, Yoav Shoham
2008	J	`jnl`	SATzilla: Portfolio-based Algorithm Selection for SAT. J. Artif. Intell. Res. Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2007	A	`conf`	: The Design and Analysis of an Algorithm Portfolio for SAT. CP Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
2007	J	`jnl`	Bidding agents for online auctions with hidden bids. Mach. Learn. Albert Xin Jiang, Kevin Leyton-Brown
2007	A*	`conf`	Computing Pure Nash Equilibria in Symmetric Action Graph Games. AAAI Albert Xin Jiang, Kevin Leyton-Brown
2007	A	`conf`	Hierarchical Hardness Models for SAT. CP Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
2007	A*	`conf`	Revenue Monotonicity in Combinatorial Auctions. AAAI Baharak Rastegari, Anne Condon, Kevin Leyton-Brown
2007	J	`jnl`	Revenue monotonicity in combinatorial auctions. SIGecom Exch. Baharak Rastegari, Anne Condon, Kevin Leyton-Brown
2007	A*	`conf`	Valuation Uncertainty and Imperfect Introspection in Second-Price Auctions. AAAI David R. M. Thompson, Kevin Leyton-Brown
2006	A*	`conf`	A Polynomial-Time Algorithm for Action Graph Games. AAAI Albert Xin Jiang, Kevin Leyton-Brown
2006	A	`conf`	Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms. CP Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevin Leyton-Brown
2005	—	`conf`	Computing Nash Equilibria of Action-Graph Games. Computing and Markets Kevin Leyton-Brown, Navin A. R. Bhat
2005	—	`conf`	Local-Effect Games. Computing and Markets Kevin Leyton-Brown, Moshe Tennenholtz
2004	A	`conf`	Computing Nash Equilibria of Action-Graph Games. UAI Navin A. R. Bhat, Kevin Leyton-Brown
2004	A	`conf`	Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms. AAMAS Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Kevin Leyton-Brown
2004	A	`conf`	Understanding Random SAT: Beyond the Clauses-to-Variables Ratio. CP Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoos, Alex Devkar, Yoav Shoham
2003	A*	`conf`	A Portfolio Approach to Algorithm Selection. IJCAI Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham
2003	A	`conf`	Boosting as a Metaphor for Algorithm Design. CP Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham
2003	J	`jnl`	Conference report: the fourth ACM conference on electronic commerce. SIGecom Exch. Kevin Leyton-Brown, Robert McGrew, Ryan Porter
2003	J	`jnl`	Incentive mechanisms for smoothing out a focused demand for network resources. Comput. Commun. Kevin Leyton-Brown, Ryan Porter, Balaji Prabhakar, Yoav Shoham, Shobha Venkataraman
2003	A*	`conf`	Local-Effect Games. IJCAI Kevin Leyton-Brown, Moshe Tennenholtz
2003	—	`—`	Resource allocation in competitive multiagent systems. Kevin Leyton-Brown
2002	J	`jnl`	Bidding Clubs in First-Price Auctions CoRR Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz
2002	—	`conf`	Bidding Clubs in First-Price Auctions. AAAI/IAAI Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz
2002	A	`conf`	Learning the Empirical Hardness of Optimization Problems: The Case of Combinatorial Auctions. CP Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham
2001	—	`conf`	Incentives for Sharing in Peer-to-Peer Networks. WELCOM Philippe Golle, Kevin Leyton-Brown, Ilya Mironov, Mark Lillibridge
2001	A*	`conf`	Incentives for sharing in peer-to-peer networks. EC Philippe Golle, Kevin Leyton-Brown, Ilya Mironov
2001	A*	`conf`	Smoothing out focused demand for network resources. EC Kevin Leyton-Brown, Ryan Porter, Shobha Venkataraman, Balaji Prabhakar
2000	—	`conf`	An Algorithm for Multi-Unit Combinatorial Auctions. AAAI/IAAI Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz
2000	A*	`conf`	Bidding clubs: institutionalized collusion in auctions. EC Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz
2000	A*	`conf`	Towards a universal test suite for combinatorial auction algorithms. EC Kevin Leyton-Brown, Mark Pearson, Yoav Shoham
1999	A*	`conf`	Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches. IJCAI Yuzo Fujishima, Kevin Leyton-Brown, Yoav Shoham