Leyton-Brown, Kevin

58 publications

NeurIPS 2025 STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models Narun Krishnamurthi Raman, Taylor Lundy, Thiago Amin, Kevin Leyton-Brown, Jesse Perla

ICLR 2025 Utilitarian Algorithm Configuration for Infinite Parameter Spaces Devon R. Graham, Kevin Leyton-Brown

AAAI 2024 How to Evaluate Behavioral Models Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright

AAAI 2024 Pay to (Not) Play: Monetizing Impatience in Mobile Games Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown

ICML 2024 STEER: Assessing the Economic Rationality of Large Language Models Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz

AAAI 2023 Better Peer Grading Through Bayesian Inference Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown

ICML 2023 Formalizing Preferences over Runtime Distributions Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden

NeurIPS 2023 Utilitarian Algorithm Configuration Devon Graham, Kevin Leyton-Brown, Tim Roughgarden

ICMLW 2022 Huge Frozen Language Models as Readers for Open-Domain Question Answering Yoav Levine, Ori Ram, Daniel Jannai, Barak Lenz, Shai Shalev-Shwartz, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham

AAAI 2022 The Perils of Learning Before Optimizing Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown

ICLR 2021 PMI-Masking: Principled Masking of Correlated Spans Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham

ICML 2021 Valid Causal Inference with (Some) Invalid Instruments Jason S Hartford, Victor Veitch, Dhanya Sridhar, Kevin Leyton-Brown

NeurIPS 2020 Exemplar Guided Active Learning Jason S Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev, Barak Lenz

ICML 2020 Fiduciary Bandits Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz

NeurIPS 2020 ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool Gellert Weisz, András György, Wei-I Lin, Devon Graham, Kevin Leyton-Brown, Csaba Szepesvari, Brendan Lucier

IJCAI 2020 Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract) Xi Alice Gao, James R. Wright, Kevin Leyton-Brown

AAAI 2020 Predicting Propositional Satisfiability via End-to-End Learning Chris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown

JAIR 2019 Level-0 Models for Predicting Human Behavior in Games James R. Wright, Kevin Leyton-Brown

NeurIPS 2019 Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier, Devon Graham

ICML 2018 Deep Models of Interactions Across Sets Jason Hartford, Devon Graham, Kevin Leyton-Brown, Siamak Ravanbakhsh

MLJ 2018 Efficient Benchmarking of Algorithm Configurators via Model-Based Surrogates Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown

IJCAI 2018 Quantifying Algorithmic Improvements over Time Lars Kotthoff, Alexandre Fréchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown

MLOSS 2017 Auto-WEKA 2.0: Automatic Model Selection and Hyperparameter Optimization in WEKA Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown

ICML 2017 Deep IV: A Flexible Approach for Counterfactual Prediction Jason Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy

IJCAI 2017 Efficiency Through Procrastination: Approximately Optimal Algorithm Configuration with Runtime Guarantees Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier

AAAI 2017 Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces Albert Xin Jiang, Hau Chan, Kevin Leyton-Brown

AAAI 2017 The Positronic Economist: A Computational System for Analyzing Economic Mechanisms David R. M. Thompson, Neil Newman, Kevin Leyton-Brown

IJCAI 2016 Bias in Algorithm Portfolio Performance Evaluation Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown

NeurIPS 2016 Deep Learning for Predicting Human Strategic Behavior Jason S Hartford, James R Wright, Kevin Leyton-Brown

AAAI 2016 Solving the Station Repacking Problem Alexandre Fréchette, Neil Newman, Kevin Leyton-Brown

AAAI 2016 Using the Shapley Value to Analyze Algorithm Portfolios Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown

IJCAI 2015 Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract) Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown

AAAI 2015 Efficient Benchmarking of Hyperparameter Optimizers via Surrogates Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown

ICML 2014 An Efficient Approach for Assessing Hyperparameter Importance Frank Hutter, Holger Hoos, Kevin Leyton-Brown

AAAI 2012 Approximately Revenue-Maximizing Auctions for Deliberative Agents L. Elisa Celis, Anna R. Karlin, Kevin Leyton-Brown, C. Thach Nguyen, David R. M. Thompson

AAAI 2012 Predicting Satisfiability at the Phase Transition Lin Xu, Holger H. Hoos, Kevin Leyton-Brown

AAAI 2012 The Deployment-to-Saturation Ratio in Security Games Manish Jain, Kevin Leyton-Brown, Milind Tambe

AAAI 2011 Dominant-Strategy Auction Design for Agents with Uncertain, Private Values David R. M. Thompson, Kevin Leyton-Brown

AAAI 2011 Modeling and Monitoring Crop Disease in Developing Countries John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze

NeurIPS 2010 Bayesian Action-Graph Games Albert X. Jiang, Kevin Leyton-brown

AAAI 2010 Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games James R. Wright, Kevin Leyton-Brown

AAAI 2010 Comparing Position Auctions Computationally David Robert Martin Thompson, Kevin Leyton-Brown

AAAI 2010 Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection Lin Xu, Holger H. Hoos, Kevin Leyton-Brown

JAIR 2009 ParamILS: An Automatic Algorithm Configuration Framework Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle

IJCAI 2009 SATenstein: Automatically Building Local Search SAT Solvers from Components Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown

UAI 2009 Temporal Action-Graph Games: A New Representation for Dynamic Games Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer

JAIR 2008 SATzilla: Portfolio-Based Algorithm Selection for SAT Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown

MLJ 2007 Bidding Agents for Online Auctions with Hidden Bids Albert Xin Jiang, Kevin Leyton-Brown

AAAI 2007 Computing Pure Nash Equilibria in Symmetric Action Graph Games Albert Xin Jiang, Kevin Leyton-Brown

AAAI 2007 Revenue Monotonicity in Combinatorial Auctions Baharak Rastegari, Anne Condon, Kevin Leyton-Brown

AAAI 2007 Valuation Uncertainty and Imperfect Introspection in Second-Price Auctions David R. M. Thompson, Kevin Leyton-Brown

AAAI 2006 A Polynomial-Time Algorithm for Action Graph Games Albert Xin Jiang, Kevin Leyton-Brown

UAI 2004 Computing Nash Equilibria of Action-Graph Games Navin A. R. Bhat, Kevin Leyton-Brown

IJCAI 2003 A Portfolio Approach to Algorithm Selection Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham

IJCAI 2003 Local-Effect Games Kevin Leyton-Brown, Moshe Tennenholtz

AAAI 2002 Bidding Clubs in First-Price Auctions Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz

AAAI 2000 An Algorithm for Multi-Unit Combinatorial Auctions Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz

IJCAI 1999 Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches Yuzo Fujishima, Kevin Leyton-Brown, Yoav Shoham