| 2026 | AAAI | ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games. | Greg d'Eon, Hala Murad, Kevin Leyton-Brown, James R. Wright |
| 2026 | AAAI | Practical, Utilitarian Algorithm Configuration. | Devon R. Graham, Eros Rojas Velez, Kevin Leyton-Brown |
| 2025 | ICLR | Utilitarian Algorithm Configuration for Infinite Parameter Spaces. | Devon R. Graham, Kevin Leyton-Brown |
| 2025 | WWW | NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants. | Taylor Lundy, Narun K. Raman, Scott Duke Kominers, Kevin Leyton-Brown |
| 2025 | SAGT | Near-Linear MIR Algorithms for Stochastically-Ordered Priors. | Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz |
| 2024 | AAAI | How to Evaluate Behavioral Models. | Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright |
| 2024 | AAAI | Pay to (Not) Play: Monetizing Impatience in Mobile Games. | Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown |
| 2024 | CPAIOR | UNSAT Solver Synthesis via Monte Carlo Forest Search. | Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown |
| 2024 | EACL | Generating Benchmarks for Factuality Evaluation of Language Models. | Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham |
| 2024 | ICML | STEER: Assessing the Economic Rationality of Large Language Models. | Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz |
| 2024 | ITiCSE | Agora: Motivating and Measuring Engagement in Large-Class Discussions. | Hedayat Zarkoob, Siddharth Nand, Kevin Leyton-Brown, Giulia Toti |
| 2024 | SIGCSE | Mechanical TA 2: Peer Grading with TA and Algorithmic Support. | Hedayat Zarkoob, Kevin Leyton-Brown |
| 2023 | AAAI | Better Peer Grading through Bayesian Inference. | Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown |
| 2023 | ACL | Parallel Context Windows for Large Language Models. | Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham |
| 2023 | ICML | Formalizing Preferences Over Runtime Distributions. | Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden |
| 2022 | AAAI | The Perils of Learning Before Optimizing. | Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown |
| 2021 | ICLR | PMI-Masking: Principled masking of correlated spans. | Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham |
| 2021 | ICML | Valid Causal Inference with (Some) Invalid Instruments. | Jason S. Hartford, Victor Veitch, Dhanya Sridhar, Kevin Leyton-Brown |
| 2020 | AAAI | Predicting Propositional Satisfiability via End-to-End Learning. | Chris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown |
| 2020 | ICML | Fiduciary Bandits. | Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz |
| 2020 | IJCAI | Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). | Xi Alice Gao, James R. Wright, Kevin Leyton-Brown |
| 2019 | EC | Allocation for Social Good: Auditing Mechanisms for Utility Maximization. | Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers, Kevin Leyton-Brown |
| 2018 | ICML | Deep Models of Interactions Across Sets. | Jason S. Hartford, Devon R. Graham, Kevin Leyton-Brown, Siamak Ravanbakhsh |
| 2018 | IJCAI | Quantifying Algorithmic Improvements over Time. | Lars Kotthoff, Alexandre Frchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown |
| 2017 | AAAI | Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces. | Albert Xin Jiang, Hau Chan, Kevin Leyton-Brown |
| 2017 | AAAI | The Positronic Economist: A Computational System for Analyzing Economic Mechanisms. | David R. M. Thompson, Neil Newman, Kevin Leyton-Brown |
| 2017 | ICML | Deep IV: A Flexible Approach for Counterfactual Prediction. | Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy |
| 2017 | IJCAI | Efficiency Through Procrastination: Approximately Optimal Algorithm Configuration with Runtime Guarantees. | Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier |
| 2016 | AAAI | Using the Shapley Value to Analyze Algorithm Portfolios. | Alexandre Frchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown |
| 2016 | AAAI | Solving the Station Repacking Problem. | Alexandre Frchette, Neil Newman, Kevin Leyton-Brown |
| 2016 | IJCAI | Bias in Algorithm Portfolio Performance Evaluation. | Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown |
| 2015 | AAAI | Efficient Benchmarking of Hyperparameter Optimizers via Surrogates. | Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2015 | IJCAI | Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract). | Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown |
| 2015 | SIGCSE | Mechanical TA: Partially Automated High-Stakes Peer Grading. | James R. Wright, Chris Thornton, Kevin Leyton-Brown |
| 2014 | ECAI | Surrogate Benchmarks for Hyperparameter Optimization. | Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2014 | ICML | An Efficient Approach for Assessing Hyperparameter Importance. | Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2013 | GECCO | An evaluation of sequential model-based optimization for expensive blackbox functions. | Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2013 | KDD | Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms. | Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2012 | AAAI | Approximately Revenue-Maximizing Auctions for Deliberative Agents. | L. Elisa Celis, Anna R. Karlin, Kevin Leyton-Brown, C. Thach Nguyen, David R. M. Thompson |
| 2012 | AAAI | The Deployment-to-Saturation Ratio in Security Games. | Manish Jain, Kevin Leyton-Brown, Milind Tambe |
| 2012 | AAAI | Predicting Satisfiability at the Phase Transition. | Lin Xu, Holger H. Hoos, Kevin Leyton-Brown |
| 2012 | AAMAS | Behavioral game theoretic models: a Bayesian framework for parameter analysis. | James R. Wright, Kevin Leyton-Brown |
| 2012 | IAAI | TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems. | Zhengyu Yin, Albert Xin Jiang, Matthew Paul Johnson, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, Milind Tambe, John P. Sullivan |
| 2012 | SAT | Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors. | Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2011 | AAAI | Modeling and Monitoring Crop Disease in Developing Countries. | John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze |
| 2011 | AAAI | Dominant-Strategy Auction Design for Agents with Uncertain, Private Values. | David R. M. Thompson, Kevin Leyton-Brown |
| 2010 | AAAI | Comparing Position Auctions Computationally. | David Robert Martin Thompson, Kevin Leyton-Brown |
| 2010 | AAAI | Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games. | James R. Wright, Kevin Leyton-Brown |
| 2010 | AAAI | Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection. | Lin Xu, Holger H. Hoos, Kevin Leyton-Brown |
| 2010 | CPAIOR | Automated Configuration of Mixed Integer Programming Solvers. | Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2009 | GECCO | An experimental investigation of model-based parameter optimisation: SPO and beyond. | Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy |
| 2009 | IJCAI | SATenstein: Automatically Building Local Search SAT Solvers from Components. | Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown |
| 2009 | SODA | Stepwise randomized combinatorial auctions achieve revenue monotonicity. | Baharak Rastegari, Anne Condon, Kevin Leyton-Brown |
| 2009 | UAI | Temporal Action-Graph Games: A New Representation for Dynamic Games. | Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer |
| 2007 | AAAI | Computing Pure Nash Equilibria in Symmetric Action Graph Games. | Albert Xin Jiang, Kevin Leyton-Brown |
| 2007 | AAAI | Revenue Monotonicity in Combinatorial Auctions. | Baharak Rastegari, Anne Condon, Kevin Leyton-Brown |
| 2007 | AAAI | Valuation Uncertainty and Imperfect Introspection in Second-Price Auctions. | David R. M. Thompson, Kevin Leyton-Brown |
| 2007 | CP | : The Design and Analysis of an Algorithm Portfolio for SAT. | Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2007 | CP | Hierarchical Hardness Models for SAT. | Lin Xu, Holger H. Hoos, Kevin Leyton-Brown |
| 2006 | AAAI | A Polynomial-Time Algorithm for Action Graph Games. | Albert Xin Jiang, Kevin Leyton-Brown |
| 2006 | CP | Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms. | Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevin Leyton-Brown |
| 2004 | CP | Understanding Random SAT: Beyond the Clauses-to-Variables Ratio. | Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoos, Alex Devkar, Yoav Shoham |
| 2004 | UAI | Computing Nash Equilibria of Action-Graph Games. | Navin A. R. Bhat, Kevin Leyton-Brown |
| 2003 | CP | Boosting as a Metaphor for Algorithm Design. | Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham |
| 2003 | IJCAI | A Portfolio Approach to Algorithm Selection. | Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham |
| 2003 | IJCAI | Local-Effect Games. | Kevin Leyton-Brown, Moshe Tennenholtz |
| 2002 | AAAI | Bidding Clubs in First-Price Auctions. | Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz |
| 2002 | CP | Learning the Empirical Hardness of Optimization Problems: The Case of Combinatorial Auctions. | Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham |
| 2000 | AAAI | An Algorithm for Multi-Unit Combinatorial Auctions. | Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz |
| 1999 | IJCAI | Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches. | Yuzo Fujishima, Kevin Leyton-Brown, Yoav Shoham |