| Multiagent systems: Algorithmic, game-theoretic, and logical foundations Y Shoham, K Leyton-Brown Cambridge University Press, 2009 | 3624 | 2009 |
| Sequential model-based optimization for general algorithm configuration F Hutter, HH Hoos, K Leyton-Brown Proceedings of the 5th International Conference on Learning and Intelligent …, 2011 | 3091 | 2011 |
| Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms C Thornton, F Hutter, HH Hoos, K Leyton-Brown Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 1945 | 2013 |
| ParamILS: an automatic algorithm configuration framework F Hutter, HH Hoos, K Leyton-Brown, T Stützle Journal of Artificial Intelligence Research (JAIR) 36 (1), 267-306, 2009 | 1235 | 2009 |
| SATzilla: Portfolio-based Algorithm Selection for SAT L Xu, F Hutter, HH Hoos, K Leyton-Brown Journal of Artificial Intelligence Research (JAIR) 32, 565-606, 2008 | 1121 | 2008 |
| Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA L Kotthoff, C Thornton, HH Hoos, F Hutter, K Leyton-Brown Journal of Machine Learning Research 18 (25), 1--5, 2017 | 915 | 2017 |
| Incentives for sharing in peer-to-peer networks P Golle, K Leyton-Brown, I Mironov, M Lillibridge ACM Conference on Electronic Commerce, 75-87, 2001 | 865 | 2001 |
| Essentials of Game Theory: A Concise Multidisciplinary Introduction K Leyton-Brown, Y Shoham Synthesis Lectures on Artificial Intelligence and Machine Learning, 1-88, 2008 | 793* | 2008 |
| Taming the computational complexity of combinatorial auctions: Optimal and approximate approaches Y Fujishima, K Leyton-Brown, Y Shoham International Joint Conference on Artificial Intelligence (IJCAI) 99, 548-553, 1999 | 658 | 1999 |
| Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ... arXiv preprint arXiv:2211.06318, 2016 | 618 | 2016 |
| Algorithm runtime prediction: Methods & evaluation F Hutter, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 206, 79-111, 2014 | 559 | 2014 |
| An efficient approach for assessing hyperparameter importance F Hutter, H Hoos, K Leyton-Brown International Conference on Machine Learning, 2014 | 555 | 2014 |
| Towards a universal test suite for combinatorial auction algorithms K Leyton-Brown, M Pearson, Y Shoham Proceedings of the 2nd ACM conference on Electronic Commerce, 66-76, 2000 | 521 | 2000 |
| Towards an empirical foundation for assessing Bayesian optimization of hyperparameters K Eggensperger, M Feurer, F Hutter, J Bergstra, J Snoek, H Hoos, ... NIPS Workshop on Bayesian Optimization in Theory and Practice, 2013 | 446 | 2013 |
| Deep IV: A flexible approach for counterfactual prediction J Hartford, G Lewis, K Leyton-Brown, M Taddy International Conference on Machine Learning, 1414-1423, 2017 | 322 | 2017 |
| Counterfactual prediction with deep instrumental variables networks J Hartford, G Lewis, K Leyton-Brown, M Taddy arXiv preprint arXiv:1612.09596, 2016 | 274 | 2016 |
| Understanding random SAT: Beyond the clauses-to-variables ratio E Nudelman, K Leyton-Brown, H Hoos, A Devkar, Y Shoham Principles and Practice of Constraint Programming, 438-452, 2004 | 272 | 2004 |
| ASlib: A benchmark library for algorithm selection B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ... Artificial Intelligence 237, 41–58, 2014 | 260 | 2014 |
| Run the GAMUT: A comprehensive approach to evaluating game-theoretic algorithms E Nudelman, J Wortman, Y Shoham, K Leyton-Brown Proceedings of the Third International Joint Conference on Autonomous Agents …, 2004 | 249 | 2004 |
| Hydra: Automatically configuring algorithms for portfolio-based selection L Xu, H Hoos, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 210-216, 2010 | 248 | 2010 |
| Learning the empirical hardness of optimization problems: The case of combinatorial auctions K Leyton-Brown, E Nudelman, Y Shoham Principles and Practice of Constraint Programming-CP 2002: 8th International …, 2002 | 248 | 2002 |
| Automated configuration of mixed integer programming solvers F Hutter, HH Hoos, K Leyton-Brown Integration of AI and OR Techniques in Constraint Programming for …, 2010 | 247 | 2010 |
| A portfolio approach to algorithm selection K Leyton-Brown, E Nudelman, G Andrew, J McFadden, Y Shoham International Joint Conference on Artificial Intelligence (IJCAI) 1543, 2003, 2003 | 239 | 2003 |
| Performance prediction and automated tuning of randomized and parametric algorithms F Hutter, Y Hamadi, HH Hoos, K Leyton-Brown Principles and Practice of Constraint Programming, 213-228, 2006 | 238 | 2006 |
| SATenstein: Automatically building local search SAT solvers from components AR KhudaBukhsh, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 232, 20-42, 2016 | 230 | 2016 |
| Deep optimization for spectrum repacking N Newman, A Fréchette, K Leyton-Brown Communications of the ACM 61 (1), 97-104, 2017 | 222* | 2017 |
| Beyond equilibrium: Predicting human behavior in normal-form games J Wright, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 901-907, 2010 | 214 | 2010 |
| An algorithm for multi-unit combinatorial auctions K Leyton-Brown, Y Shoham, M Tennenholtz National Conference on Artificial Intelligence (AAAI), 56-61, 2000 | 206 | 2000 |
| In-context retrieval-augmented language models O Ram, Y Levine, I Dalmedigos, D Muhlgay, A Shashua, K Leyton-Brown, ... Transactions of the Association for Computational Linguistics 11, 1316-1331, 2023 | 178 | 2023 |
| SATzilla-07: The Design and Analysis of an Algorithm Portfolio for SAT L Xu, F Hutter, H Hoos, K Leyton-Brown Principles and Practice of Constraint Programming–CP 2007, 712-727, 2007 | 172 | 2007 |
| Deep models of interactions across sets J Hartford, DR Graham, K Leyton-Brown, S Ravanbakhsh International Conference on Machine Learning, 1909-1918, 2018 | 162 | 2018 |
| Empirical hardness models: Methodology and a case study on combinatorial auctions K Leyton-Brown, E Nudelman, Y Shoham Journal of the ACM (JACM) 56 (4), 1-52, 2009 | 161 | 2009 |
| TRUSTS: Scheduling randomized patrols for fare inspection in transit systems Z Yin, AX Jiang, MP Johnson, C Kiekintveld, K Leyton-Brown, T Sandholm, ... Twenty-Fourth IAAI Conference, 2012 | 144 | 2012 |
| Efficient benchmarking of hyperparameter optimizers via surrogates K Eggensperger, F Hutter, H Hoos, K Leyton-Brown Proceedings of the aaai conference on artificial intelligence 29 (1), 2015 | 140 | 2015 |
| Hydra-MIP: Automated algorithm configuration and selection for mixed integer programming L Xu, F Hutter, HH Hoos, K Leyton-Brown RCRA workshop on experimental evaluation of algorithms for solving problems …, 2011 | 137 | 2011 |
| An experimental investigation of model-based parameter optimisation: SPO and beyond F Hutter, HH Hoos, K Leyton-Brown, KP Murphy Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 128 | 2009 |
| TRUSTS: Scheduling randomized patrols for fare inspection in transit systems using game theory Z Yin, AX Jiang, M Tambe, C Kiekintveld, K Leyton-Brown, T Sandholm, ... AI magazine 33 (4), 59-59, 2012 | 127 | 2012 |
| Evaluating component solver contributions to portfolio-based algorithm selectors L Xu, F Hutter, H Hoos, K Leyton-Brown International conference on theory and applications of satisfiability …, 2012 | 127 | 2012 |
| Parallel algorithm configuration F Hutter, HH Hoos, K Leyton-Brown International Conference on Learning and Intelligent Optimization, 55-70, 2012 | 120 | 2012 |
| SATzilla2012: Improved algorithm selection based on cost-sensitive classification models L Xu, F Hutter, J Shen, HH Hoos, K Leyton-Brown Proceedings of SAT Challenge, 57-58, 2012 | 118 | 2012 |
| Action-graph games AX Jiang, K Leyton-Brown, NAR Bhat Games and Economic Behavior 71 (1), 141-173, 2011 | 117 | 2011 |
| Local-effect games K Leyton-Brown, M Tennenholtz International Joint Conference on Artificial Intelligence 18, 772-780, 2003 | 113 | 2003 |
| Economics and computer science of a radio spectrum reallocation K Leyton-Brown, P Milgrom, I Segal Proceedings of the National Academy of Sciences 114 (28), 7202-7209, 2017 | 102 | 2017 |
| Deep learning for predicting human strategic behavior JS Hartford, JR Wright, K Leyton-Brown Proceedings of the 30th International Conference on Neural Information …, 2016 | 101 | 2016 |
| An evaluation of sequential model-based optimization for expensive blackbox functions F Hutter, H Hoos, K Leyton-Brown Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 99 | 2013 |
| Time-bounded sequential parameter optimization F Hutter, HH Hoos, K Leyton-Brown, K Murphy Learning and Intelligent Optimization: 4th International Conference, LION 4 …, 2010 | 98 | 2010 |
| Computing Nash equilibria of action-graph games NAR Bhat, K Leyton-Brown Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004 | 98* | 2004 |
| ACLib: a benchmark library for algorithm configuration F Hutter, M López-Ibánez, C Fawcett, M Lindauer, HH Hoos, ... International Conference on Learning and Intelligent Optimization, 36-40, 2014 | 93 | 2014 |
| Boosting as a metaphor for algorithm design K Leyton-Brown, E Nudelman, G Andrew, J McFadden, Y Shoham International Conference on Principles and Practice of Constraint …, 2003 | 89 | 2003 |
| Sequential model-based optimization for general algorithm configuration (extended version) F Hutter, HH Hoos, K Leyton-Brown Technical Report TR-2010–10, University of British Columbia, Computer …, 2010 | 82 | 2010 |
| Level-0 meta-models for predicting human behavior in games JR Wright, K Leyton-Brown Proceedings of the fifteenth ACM conference on Economics and computation …, 2014 | 80 | 2014 |
| The configurable SAT solver challenge (CSSC) F Hutter, M Lindauer, A Balint, S Bayless, H Hoos, K Leyton-Brown Artificial Intelligence 243, 1-25, 2017 | 76 | 2017 |
| Identifying key algorithm parameters and instance features using forward selection F Hutter, HH Hoos, K Leyton-Brown Learning and Intelligent Optimization: 7th International Conference, LION 7 …, 2013 | 76 | 2013 |
| Predicting Human Behavior in Unrepeated, Simultaneous-Move Games JR Wright, K Leyton-Brown Games and Economic Behavior 106, 16-37, 2017 | 73 | 2017 |
| SATzilla2009: an automatic algorithm portfolio for SAT L Xu, F Hutter, HH Hoos, K Leyton-Brown SAT 4, 53-55, 2009 | 73 | 2009 |
| Mechanical TA: Partially automated high-stakes peer grading JR Wright, C Thornton, K Leyton-Brown Proceedings of the 46th ACM Technical Symposium on Computer Science …, 2015 | 72 | 2015 |
| Polynomial-time computation of exact correlated equilibrium in compact games AX Jiang, K Leyton-Brown Games and Economic Behavior 91, 347-359, 2015 | 67 | 2015 |
| Two-sided matching with partial information B Rastegari, A Condon, N Immorlica, K Leyton-Brown Proceedings of the fourteenth ACM conference on Electronic Commerce, 733-750, 2013 | 66 | 2013 |
| Incentivizing evaluation with peer prediction and limited access to ground truth XA Gao, JR Wright, K Leyton-Brown Artificial Intelligence 275, 618-638, 2019 | 65* | 2019 |
| Hierarchical hardness models for SAT L Xu, HH Hoos, K Leyton-Brown International Conference on Principles and Practice of Constraint …, 2007 | 65 | 2007 |
| Improved features for runtime prediction of domain-independent planners C Fawcett, M Vallati, F Hutter, J Hoffmann, H Hoos, K Leyton-Brown Proceedings of the International Conference on Automated Planning and …, 2014 | 64 | 2014 |
| Empirical analysis of plurality election equilibria DRM Thompson, O Lev, K Leyton-Brown, J Rosenschein Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 60 | 2013 |
| Efficient benchmarking of algorithm configurators via model-based surrogates K Eggensperger, M Lindauer, HH Hoos, F Hutter, K Leyton-Brown Machine Learning 107, 15-41, 2018 | 59 | 2018 |
| A test suite for combinatorial auctions K Leyton-Brown, Y Shoham Combinatorial auctions, 451-478, 2006 | 59 | 2006 |
| Revenue optimization in the generalized second-price auction DRM Thompson, K Leyton-Brown Proceedings of the fourteenth ACM conference on Electronic commerce, 837-852, 2013 | 58 | 2013 |
| Understanding the empirical hardness of NP-complete problems K Leyton-Brown, HH Hoos, F Hutter, L Xu Communications of the ACM 57 (5), 98-107, 2014 | 56 | 2014 |
| Polynomial-time computation of exact correlated equilibrium in compact games AX Jiang, K Leyton-Brown Proceedings of the 12th ACM conference on Electronic commerce, 119-126, 2011 | 56 | 2011 |
| PMI-Masking: Principled masking of correlated spans Y Levine, B Lenz, O Lieber, O Abend, K Leyton-Brown, M Tennenholtz, ... International Conference on Learning Representations, 2020 | 54 | 2020 |
| Behavioral game theoretic models: a Bayesian framework for parameter analysis. JR Wright, K Leyton-Brown AAMAS 12, 921-930, 2012 | 54 | 2012 |
| The Spotlight: A general method for discovering systematic errors in deep learning models G d'Eon, J d'Eon, JR Wright, K Leyton-Brown ACM Conference on Fairness, Accountability, and Transparency (FAccT), 1962–1981, 2022 | 52 | 2022 |
| Resource allocation in competitive multiagent systems K Leyton-Brown Stanford University, 2003 | 50 | 2003 |
| Bayesian optimization with censored response data F Hutter, H Hoos, K Leyton-Brown arXiv preprint arXiv:1310.1947, 2013 | 48 | 2013 |
| Using the Shapley value to analyze algorithm portfolios A Fréchette, L Kotthoff, T Michalak, T Rahwan, HH Hoos, K Leyton-Brown Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 47 | 2016 |
| Computational analysis of perfect-information position auctions DRM Thompson, K Leyton-Brown Proceedings of the 10th ACM conference on Electronic commerce, 51-60, 2009 | 47 | 2009 |
| MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning E Karpas, O Abend, Y Belinkov, B Lenz, O Lieber, N Ratner, Y Shoham, ... arXiv preprint arXiv:2205.00445, 2022 | 46 | 2022 |
| Revenue monotonicity in combinatorial auctions B Rastegari, A Condon, K Leyton-Brown Proceedings of the National Conference on Artificial Intelligence, 122-127, 2007 | 45 | 2007 |
| Satzilla: An algorithm portfolio for SAT E Nudelman, K Leyton-Brown, A Devkar, Y Shoham, H Hoos Solver description, SAT competition 2004, 2004 | 44 | 2004 |
| Tradeoffs in the empirical evaluation of competing algorithm designs F Hutter, HH Hoos, K Leyton-Brown Annals of Mathematics and Artificial Intelligence 60, 65-89, 2010 | 43 | 2010 |
| Sequential model-based parameter optimization: An experimental investigation of automated and interactive approaches F Hutter, T Bartz-Beielstein, HH Hoos, K Leyton-Brown, KP Murphy Experimental Methods for the Analysis of Optimization Algorithms, 363-414, 2010 | 42 | 2010 |
| Efficiency Through Procrastination: Approximately Optimal Algorithm Configuration with Runtime Guarantees. R Kleinberg, K Leyton-Brown, B Lucier IJCAI 3, 1, 2017 | 40 | 2017 |
| Modeling and monitoring crop disease in developing countries J Quinn, K Leyton-Brown, E Mwebaze Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1390-1395, 2011 | 40 | 2011 |
| Bidding clubs in first-price auctions K Leyton-Brown, Y Shoham, M Tennenholtz AAAI, 373-378, 2002 | 40 | 2002 |
| Standing on the shoulders of giant frozen language models Y Levine, I Dalmedigos, O Ram, Y Zeldes, D Jannai, D Muhlgay, Y Osin, ... arXiv preprint arXiv:2204.10019, 2022 | 37 | 2022 |
| Bidding agents for online auctions with hidden bids AX Jiang, K Leyton-Brown Machine Learning 67, 117-143, 2007 | 37 | 2007 |
| Automatic construction of parallel portfolios via algorithm configuration M Lindauer, H Hoos, K Leyton-Brown, T Schaub Artificial Intelligence 244, 272-290, 2017 | 36 | 2017 |
| at al.(2016) P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ... Artificial intelligence and life in 2030, 2015-2016, 2016 | 35 | 2016 |
| Predicting Satisfiability at the Phase Transition L Xu, HH Hoos, K Leyton-Brown AAAI, 2012 | 35 | 2012 |
| Revenue monotonicity in deterministic, dominant-strategy combinatorial auctions B Rastegari, A Condon, K Leyton-Brown Artificial Intelligence 175 (2), 441-456, 2011 | 35 | 2011 |
| HAL: A framework for the automated analysis and design of high-performance algorithms C Nell, C Fawcett, HH Hoos, K Leyton-Brown Proceedings of the fifth international conference on Learning and …, 2011 | 35 | 2011 |
| Bidding clubs: institutionalized collusion in auctions K Leyton-Brown, Y Shoham, M Tennenholtz Proceedings of the 2nd ACM Conference on Electronic Commerce, 253-259, 2000 | 35 | 2000 |
| Predicting propositional satisfiability via end-to-end learning C Cameron, R Chen, J Hartford, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3324-3331, 2020 | 34 | 2020 |
| Towards optimal patrol strategies for fare inspection in transit systems AX Jiang, Z Yin, MP Johnson, M Tambe, C Kiekintveld, K Leyton-Brown, ... 2012 AAAI Spring Symposium Series, 2012 | 34 | 2012 |
| A Tutorial on the Proof of the Existence of Nash Equilibria AX Jiang, K Leyton-Brown University of British Columbia, Department of Computer Science Technical Report, 2007 | 34 | 2007 |
| Solving the station repacking problem A Fréchette, N Newman, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 32 | 2016 |
| Empirically evaluating multiagent reinforcement learning algorithms A Lipson, K Leyton-Brown arXiv:1401.8074, 2014 | 32* | 2014 |
| A polynomial-time algorithm for Action-Graph Games AX Jiang, K Leyton-Brown Proceedings of the National Conference on Artificial Intelligence 21 (1), 679, 2006 | 32 | 2006 |
| Bayesian action-graph games A Jiang, K Leyton-Brown Advances in Neural Information Processing Systems 23, 2010 | 31 | 2010 |
| The Deployment-to-Saturation Ratio in Security Games M Jain, K Leyton-Brown, M Tambe Conference of the Association for the Advancement of Artificial Intelligence …, 2012 | 30 | 2012 |
| Computing pure Nash equilibria in symmetric Action Graph Games AX Jiang, K Leyton-Brown Proceedings of the National Conference on Artificial Intelligence 22 (1), 79, 2007 | 30 | 2007 |
| Parallel context windows for large language models N Ratner, Y Levine, Y Belinkov, O Ram, I Magar, O Abend, E Karpas, ... arXiv preprint arXiv:2212.10947, 2022 | 29 | 2022 |
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaVerified email at cs.rwth-aachen.de
