Kevin Leyton-Brown | Academic Influence

Kevin Leyton-Brown's AcademicInfluence.com Rankings

Kevin Leyton-Brown

Computer Science

#1536

World Rank

#1590

Historical Rank

Artificial Intelligence

#429

World Rank

#436

Historical Rank

Database

#3115

World Rank

#3246

Historical Rank

computer-science Degrees

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Computer Science

Kevin Leyton-Brown's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Computer Science University of British Columbia

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Why Is Kevin Leyton-Brown Influential?

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According to Wikipedia, Kevin Leyton-Brown is a Professor of Computer Science at the University of British Columbia. He received his Ph.D. at Stanford University in 2003. He was the recipient of a 2014 NSERC E.W.R. Steacie Memorial Fellowship, a 2013/14 Killam Teaching Prize, and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer Science. Leyton-Brown co-teaches a popular game theory course on Coursera.org, along with Matthew O. Jackson and Yoav Shoham. Leyton-Brown serves as an associate editor for the Journal of Artificial Intelligence Research, the Artificial Intelligence journal, and ACM Transactions on Economics and Computation, and was program chair for the ACM Conference on Electronic Commerce in 2012. Leyton-Brown and coauthors have received the IJCAI-JAIR Best Paper Prize and numerous medals in international SAT competitions .

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Kevin Leyton-Brown's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Sequential Model-Based Optimization for General Algorithm Configuration (2011) (2304)
Multiagent Systems - Algorithmic, Game-Theoretic, and Logical Foundations (2008) (2165)
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (2012) (1282)
ParamILS: An Automatic Algorithm Configuration Framework (2009) (1003)
SATzilla: Portfolio-based Algorithm Selection for SAT (2008) (918)
Incentives for sharing in peer-to-peer networks (2001) (640)
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA (2017) (591)
Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches (1999) (565)
Essentials of Game Theory: A Concise Multidisciplinary Introduction (2008) (445)
Towards a universal test suite for combinatorial auction algorithms (2000) (432)
Algorithm runtime prediction: Methods & evaluation (2012) (373)
An Efficient Approach for Assessing Hyperparameter Importance (2014) (339)
Introduction to Multi-Agent Systems (2016) (265)
Learning the Empirical Hardness of Optimization Problems: The Case of Combinatorial Auctions (2002) (214)
Understanding Random SAT: Beyond the Clauses-to-Variables Ratio (2004) (210)
Deep IV: A Flexible Approach for Counterfactual Prediction (2017) (207)
Run the GAMUT: a comprehensive approach to evaluating game-theoretic algorithms (2004) (206)
SATenstein: Automatically Building Local Search SAT Solvers from Components (2009) (206)
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms (2006) (203)
TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems Using Game Theory (2012) (202)
Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection (2010) (199)
Automated Configuration of Mixed Integer Programming Solvers (2010) (188)
ASlib: A benchmark library for algorithm selection (2015) (185)
An Algorithm for Multi-Unit Combinatorial Auctions (2000) (163)
Beyond equilibrium: predicting human behaviour in normal form games (2010) (161)
: The Design and Analysis of an Algorithm Portfolio for SAT (2007) (143)
Empirical hardness models: Methodology and a case study on combinatorial auctions (2009) (136)
Logics of Knowledge and Belief (2008) (127)
A portfolio approach to algorithm select (2003) (125)
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence (2016) (123)
Deep Models of Interactions Across Sets (2018) (113)
Efficient Benchmarking of Hyperparameter Optimizers via Surrogates (2015) (108)
Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors (2012) (104)
An experimental investigation of model-based parameter optimisation: SPO and beyond (2009) (102)
Polynomial-time computation of exact correlated equilibrium in compact games (2010) (95)
Action-Graph Games (2011) (92)
Local-Effect Games (2003) (91)
Parallel Algorithm Configuration (2012) (90)
Hydra-MIP : Automated Algorithm Configuration and Selection for Mixed Integer Programming (2011) (86)
Time-Bounded Sequential Parameter Optimization (2010) (84)
Computing Nash Equilibria of Action-Graph Games (2004) (79)
Boosting as a Metaphor for Algorithm Design (2003) (79)
Deep Learning for Predicting Human Strategic Behavior (2016) (76)
The Configurable SAT Solver Challenge (CSSC) (2015) (75)
AClib: A Benchmark Library for Algorithm Configuration (2014) (71)
Auto-WEKA: Automated Selection and Hyper-Parameter Optimization of Classification Algorithms (2012) (68)
Identifying Key Algorithm Parameters and Instance Features Using Forward Selection (2013) (66)
An evaluation of sequential model-based optimization for expensive blackbox functions (2013) (65)
A Test Suite for Combinatorial Auctions (2005) (65)
Economics and computer science of a radio spectrum reallocation (2017) (64)
Predicting human behavior in unrepeated, simultaneous-move games (2013) (62)
Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract) (2015) (61)
Level-0 meta-models for predicting human behavior in games (2014) (60)
SATzilla2009: an Automatic Algorithm Portfolio for SAT (2008) (57)
Hierarchical Hardness Models for SAT (2007) (55)
Two-sided matching with partial information (2013) (54)
Mechanical TA: Partially Automated High-Stakes Peer Grading (2015) (54)
Improved Features for Runtime Prediction of Domain-Independent Planners (2014) (51)
Revenue optimization in the generalized second-price auction (2013) (51)
Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse (2016) (48)
Behavioral game theoretic models: a Bayesian framework for parameter analysis (2012) (47)
Understanding the empirical hardness of NP-complete problems (2014) (46)
Efficient benchmarking of algorithm configurators via model-based surrogates (2017) (42)
Tradeoffs in the empirical evaluation of competing algorithm designs (2010) (42)
Computational analysis of perfect-information position auctions (2009) (41)
Counterfactual Prediction with Deep Instrumental Variables Networks (2016) (39)
Empirical analysis of plurality election equilibria (2013) (38)
PMI-Masking: Principled masking of correlated spans (2020) (38)
Revenue monotonicity in combinatorial auctions (2007) (37)
Essentials of game theory (2008) (35)
Efficiency Through Procrastination: Approximately Optimal Algorithm Configuration with Runtime Guarantees (2017) (35)
Bidding clubs in first-price auctions (2002) (34)
Bidding clubs: institutionalized collusion in auctions (2000) (34)
Revenue monotonicity in deterministic, dominant-strategy combinatorial auctions (2011) (33)
Bayesian Optimization With Censored Response Data (2013) (32)
Bidding agents for online auctions with hidden bids (2007) (31)
A Polynomial-Time Algorithm for Action Graph Games (2006) (30)
Using the Shapley Value to Analyze Algorithm Portfolios (2016) (30)
Proceedings of the 13th ACM Conference on Electronic Commerce, EC 2012, Valencia, Spain, June 4-8, 2012 (2012) (30)
Resource allocation in competitive multiagent systems (2003) (29)
Empirical Hardness Models for Combinatorial Auctions (2005) (29)
Modeling and Monitoring Crop Disease in Developing Countries (2011) (28)
Solving the Station Repacking Problem (2016) (27)
Computing Pure Nash Equilibria in Symmetric Action Graph Games (2007) (27)
Empirically Evaluating Multiagent Learning Algorithms (2014) (27)
Deep optimization for spectrum repacking (2017) (27)
Automatic construction of parallel portfolios via algorithm configuration (2017) (27)
Algorithm Runtime Prediction: The State of the Art (2012) (26)
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models (2021) (26)
Towards Optimal Patrol Strategies for Fare Inspection in Transit Systems (2012) (25)
Predicting Propositional Satisfiability via End-to-End Learning (2020) (24)
Predicting Satisfiability at the Phase Transition (2012) (23)
The Deployment-to-Saturation Ratio in Security Games (2012) (23)
HAL: A Framework for the Automated Analysis and Design of High-Performance Algorithms (2011) (23)
Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches (2010) (20)
Standing on the Shoulders of Giant Frozen Language Models (2022) (19)
Bayesian Action-Graph Games (2010) (19)
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration (2019) (18)
Reasoning about optimal stable matchings under partial information (2014) (18)
A mobile market for agricultural trade in Uganda (2013) (17)
Valuation Uncertainty and Imperfect Introspection in Second-Price Auctions (2007) (16)
Towards a Universal Test Suite forCombinatorial Au tion (2000) (15)
Designing and Evolving an Electronic Agricultural Marketplace in Uganda (2018) (15)
Incentives for Sharing in P2P Networks (2004) (15)
A Tutorial on the Proof of the Existence of Nash Equilibria (2007) (15)
Surrogate Benchmarks for Hyperparameter Optimization (2014) (13)
Temporal Action-Graph Games: A New Representation for Dynamic Games (2009) (13)
Level-0 Models for Predicting Human Behavior in Games (2019) (13)
Valid Causal Inference with (Some) Invalid Instruments (2020) (13)
Approximately Revenue-Maximizing Auctions for Deliberative Agents (2012) (13)
Computing pure strategy nash equilibria in compact symmetric games (2010) (13)
Sequential Model-Based Parameter Optimisation: an Experimental Investigation of Automated and Inte (2010) (11)
Dominant-Strategy Auction Design for Agents with Uncertain, Private Values (2011) (11)
Empirical Aspects of Plurality Election Equilibria (2012) (11)
Computing Nash Equilibria of Action-Graph Games via Support Enumeration (2011) (11)
Stepwise randomized combinatorial auctions achieve revenue monotonicity (2009) (10)
A Formal Separation Between Strategic and Nonstrategic Behavior (2018) (10)
Algorithm Configuration in the Cloud: A Feasibility Study (2014) (10)
Matching Papers and Reviewers at Large Conferences (2022) (10)
Assessing Economic Outcomes in Simulated Reverse Clock Auctions for Radio Spectrum (2017) (9)
Estimating Bidders ’ Valuation Distributions in Online Auctions (2005) (9)
A General Framework for Computing Optimal Correlated Equilibria in Compact Games - (Extended Abstract) (2011) (9)
Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates (2017) (9)
Incentivizing evaluation with peer prediction and limited access to ground truth (2019) (9)
Polynomial computation of exact correlated equilibrium in compact games (2011) (8)
Report-Sensitive Spot-checking in Peer Grading Systems (2019) (8)
Bias in Algorithm Portfolio Performance Evaluation (2016) (7)
Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces (2017) (7)
Algorithm Configuration for Portfolio-based Parallel SAT-Solving (2012) (7)
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms: An Initial Investigation ∗ (2006) (7)
Artificial intelligence in 2027 (2018) (6)
Operations Research Enables Auction to Repurpose Television Spectrum for Next-Generation Wireless Technologies (2019) (6)
Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates (2020) (6)
Towards Optimal Patrol Strategies for Urban Security in Transit Systems (2011) (6)
OASC-2017: *Zilla Submission (2017) (6)
Multiagent Systems: Teams of Selfish Agents: An Introduction to Coalitional Game Theory (2008) (6)
Incentive mechanisms for smoothing out a focused demand for network resources (2003) (6)
Quantifying the Similarity of Algorithm Configurations (2016) (6)
Quantifying Algorithmic Improvements over Time (2018) (6)
Selection and Configuration of Parallel Portfolios (2018) (6)
Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games (2013) (5)
Allocation for Social Good: Auditing Mechanisms for Utility Maximization (2019) (5)
Multilinear Games (2016) (4)
SATzilla2007: a New & Improved Algorithm Portfolio for SAT (2007) (4)
Models of Level-0 Behavior for Predicting Human Behavior in Games (2016) (4)
Chapter 18 A Test Suite for Combinatorial Auctions (2005) (4)
Algorithmic Game Theory and Artificial Intelligence (2010) (4)
Multiagent Systems: Beyond Belief: Probability, Dynamics, and Intention (2008) (4)
Multiagent Systems: Introduction to Noncooperative Game Theory: Games in Normal Form (2008) (4)
Smoothing out focused demand for network resources (2001) (3)
The Perils of Learning Before Optimizing (2021) (3)
The Positronic Economist: A Computational System for Analyzing Economic Mechanisms (2017) (3)
Empirically Evaluating Multiagent Reinforcement Learning Algorithms (2005) (3)
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool (2020) (3)
Introduction to the AI Magazine Special Issue on Algorithmic Game Theory (2010) (2)
Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in n-player games (2011) (2)
Multiagent Systems: Protocols for Multiagent Resource Allocation: Auctions (2008) (2)
Symmetric games with piecewise linear utilities (2010) (2)
Incentive Auction Design Alternatives: A Simulation Study (2020) (2)
Formalizing the Boundary Between Strategic and Nonstrategic Reasoning (2018) (2)
Exemplar Guided Active Learning (2020) (2)
Pragmatic algorithmic game theory (2014) (2)
Formalizing Preferences Over Runtime Distributions (2022) (1)
Multiagent Systems: Protocols for Strategic Agents: Mechanism Design (2008) (1)
Mechanical TA 2: A System for Peer Grading with TA Support (2021) (1)
An Efficient Approach for Assessing Parameter Importance in Bayesian Optimization (2013) (1)
Fiduciary Bandits (2019) (1)
Learning and Teaching (2012) (1)
Better Peer Grading through Bayesian Inference (2022) (1)
Introduction to the Special Issue on EC’12 (2015) (1)
Aggregating Preferences: Social Choice (2008) (1)
Book announcements: multiagent systems and essentials of game theory (2008) (1)
Markov Decision Problems (MDPs) (2008) (0)
Learning under Invariable Bayesian Safety (2020) (0)
Multiagent Systems: Distributed Constraint Satisfaction (2008) (0)
Conference report: the fourth ACM conference on electronic commerce (2003) (0)
Comparing Position Auctions Computationally (2010) (0)
Chapter 8 Selection and Configuration of Parallel Portfolios (2017) (0)
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract) (2020) (0)
Local-Effect Games , and an Algorithm for Computing their Equilibria (2004) (0)
A Bidding Ring Protocol for First-Price Auctions (2008) (0)
Bidding Clubs in First-Price Auctions Extended Abstract (2002) (0)
Collusion in Unrepeated, First-Price Auctions with an Uncertain Number of Participants (2002) (0)
Efficient benchmarking of algorithm configurators via model-based surrogates (2017) (0)
Debating Corporate Responsibility in the Era of Digitization and Digitalization (2020) (0)
Computing Solution Concepts of Normal-Form Games (2008) (0)
Introduction (2014) (0)
Monte Carlo Forest Search: UNSAT Solver Synthesis via Reinforcement learning (2022) (0)
A Study of Phase Transitions in Security Games (2012) (0)
Which Security Games are Hard to Solve ? (2012) (0)
Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver (2020) (0)
Richer Representations: Beyond the Normal and Extensive Forms (2008) (0)
1 Algorithmic Game Theory and Artificial Intelligence (2010) (0)
Multiagent Systems: Communication (2008) (0)
The New Faculty Highlights Program at AAAI-21 (2022) (0)
Games with Sequential Actions: Reasoning and Computing with the Extensive Form (2008) (0)
A Tutorial on Rational Generating Functions (2010) (0)
Valuation Uncertainty and Imperfect Introspection in Sealed-bid Auctions (2007) (0)
Algorithmic Game Theory (2010) (0)
Linear and Integer Programming (2012) (0)

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