Thore Graepel

Alexander Sasha Vezhnevets

Jayd Matyas

CoRR, 2022

NeuPL: Neural Population Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

EigenGame Unloaded: When playing games is better than optimizing.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Game Plan: What AI can do for Football, and What Football can do for AI.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

A PAC-Bayesian Analysis of Distance-Based Classifiers: Why Nearest-Neighbour works!

[BibT_eX]

[DOI]

CoRR, 2021

Deep reinforcement learning models the emergent dynamics of human cooperation.

[BibT_eX]

[DOI]

CoRR, 2021

A Neural Network Auction For Group Decision Making Over a Continuous Space.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

EigenGame: PCA as a Nash Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Mastering Atari, Go, chess and shogi by planning with a learned model.

[BibT_eX]

[DOI]

Nat., 2020

Open Problems in Cooperative AI.

[BibT_eX]

[DOI]

CoRR, 2020

Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences.

[BibT_eX]

[DOI]

Matthew M. Botvinick

CoRR, 2020

Negotiating team formation using deep reinforcement learning.

[BibT_eX]

[DOI]

Wojciech M. Czarnecki

Artif. Intell., 2020

Bounds and dynamics for empirical game theoretic analysis.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2020

Learning to Play No-Press Diplomacy with Best Response Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adaptive Mechanism Design: Learning to Promote Cooperation.

[BibT_eX]

[DOI]

Tobias Baumann

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Generalized Training Approach for Multiagent Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Smooth markets: A basic mechanism for organizing gradient-based learners.

[BibT_eX]

[DOI]

David Balduzzi

Wojciech M. Czarnecki

Proceedings of the 8th International Conference on Learning Representations, 2020

Automatic Curricula in Deep Multi-Agent Reinforc ement Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Differentiable Game Mechanics.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

A Neural Architecture for Designing Truthful and Efficient Auctions.

[BibT_eX]

[DOI]

CoRR, 2019

Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research.

[BibT_eX]

[DOI]

CoRR, 2019

Biases for Emergent Communication in Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Artificial Life, 2019

Open-ended learning in symmetric zero-sum games.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Relational Forward Models for Multi-Agent Learning.

[BibT_eX]

[DOI]

Andrea Tacchetti

H. Francis Song

Pedro A. M. Mediano

Proceedings of the 7th International Conference on Learning Representations, 2019

Emergent Coordination Through Competition.

[BibT_eX]

[DOI]

Siqi Liu

Josh Merel

Saran Tunyasuvunakool

Nicolas Heess

Proceedings of the 7th International Conference on Learning Representations, 2019

Malthusian Reinforcement Learning.

[BibT_eX]

[DOI]

Peter Sunehag

Iain Dunning

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Relational Forward Models for Multi-Agent Learning.

[BibT_eX]

[DOI]

Andrea Tacchetti

H. Francis Song

Pedro A. M. Mediano

CoRR, 2018

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.

[BibT_eX]

[DOI]

Max Jaderberg

Wojciech M. Czarnecki

Iain Dunning

Luke Marris

CoRR, 2018

Inequity aversion resolves intertemporal social dilemmas.

[BibT_eX]

[DOI]

CoRR, 2018

Inequity aversion improves cooperation in intertemporal social dilemmas.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Re-evaluating evaluation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Mechanics of n-Player Differentiable Games.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

A Generalised Method for Empirical Game Theoretic Analysis.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward.

[BibT_eX]

[DOI]

Peter Sunehag

Wojciech Marian Czarnecki

Audrunas Gruslys

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Mastering the game of Go without human knowledge.

[BibT_eX]

[DOI]

George van den Driessche

Demis Hassabis

Nat., 2017

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

[BibT_eX]

[DOI]

CoRR, 2017

Symmetric Decomposition of Asymmetric Games.

[BibT_eX]

[DOI]

CoRR, 2017

Value-Decomposition Networks For Cooperative Multi-Agent Learning.

[BibT_eX]

[DOI]

Peter Sunehag

Wojciech Marian Czarnecki

Audrunas Gruslys

CoRR, 2017

A multi-agent reinforcement learning model of common-pool resource appropriation.

[BibT_eX]

[DOI]

Julien Pérolat

Charles Beattie

Karl Tuyls

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

Marc Lanctot

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-agent Reinforcement Learning in Sequential Social Dilemmas.

[BibT_eX]

[DOI]

Marc Lanctot

Janusz Marecki

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

Mastering the game of Go with deep neural networks and tree search.

[BibT_eX]

[DOI]

Nat., 2016

Learning Shared Representations in Multi-task Reinforcement Learning.

[BibT_eX]

[DOI]

Diana Borsa

CoRR, 2016

2015

The Wreath Process: A totally generative model of geometric shape based on nested symmetries.

[BibT_eX]

[DOI]

Diana Borsa

Andrew D. Gordon

CoRR, 2015

Probabilistic Programs as Spreadsheet Queries.

[BibT_eX]

[DOI]

Proceedings of the Programming Languages and Systems, 2015

2014

Manifestations of user personality in website choice and behaviour on online social networks.

[BibT_eX]

[DOI]

Mach. Learn., 2014

A Comparison of learning algorithms on the Arcade Learning Environment.

[BibT_eX]

[DOI]

Aaron Defazio

CoRR, 2014

Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles.

[BibT_eX]

[DOI]

Sandro Bauer

Stephen Clark

Proceedings of the Social Informatics - SocInfo 2014 International Workshops, Barcelona, 2014

Tabular: a schema-driven probabilistic programming language.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2014

Learning a Theory of Marriage (and Other Relations) from a Web Corpus.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2014

Your digital image: factors behind demographic and psychometric predictions from social network profiles.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Inferring the demographics of search users: social data meets search queries.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

A model-learner pattern for bayesian reasoning.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2013

SIGMa: simple greedy matching for aligning large knowledge bases.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Automated probabilistic modeling for relational data.

[BibT_eX]

[DOI]

Sameer Singh

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Kernel Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

ML Confidential: Machine Learning on Encrypted Data.

[BibT_eX]

[DOI]

Kristin E. Lauter

Michael Naehrig

IACR Cryptol. ePrint Arch., 2012

Compiling Relational Database Schemata into Probabilistic Graphical Models

[BibT_eX]

[DOI]

Sameer Singh

CoRR, 2012

Crowd IQ: measuring the intelligence of crowdsourcing platforms.

[BibT_eX]

[DOI]

Proceedings of the Web Science 2012, 2012

Colonel Blotto on Facebook: the effect of social relations on strategic interaction.

[BibT_eX]

[DOI]

Proceedings of the Web Science 2012, 2012

Personality and patterns of Facebook usage.

[BibT_eX]

[DOI]

Proceedings of the Web Science 2012, 2012

Collaborative learning of preference rankings.

[BibT_eX]

[DOI]

Tim Salimans

Ulrich Paquet

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Score-Based Bayesian Skill Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Crowd IQ: aggregating opinions to boost performance.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Quality Expectation-Variance Tradeoffs in Crowdsourcing Contests.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise.

[BibT_eX]

[DOI]

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Sociable killers: understanding social relationships in an online first-person shooter game.

[BibT_eX]

[DOI]

Proceedings of the 2011 ACM Conference on Computer Supported Cooperative Work, 2011

Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Automated feature generation from structured knowledge.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

DBrev: Dreaming of a Database Revolution.

[BibT_eX]

[DOI]

Gjergji Kasneci

Jurgen Van Gael

Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011

Rip-off: playing the cooperative negotiation game.

[BibT_eX]

[DOI]

Yoram Bachrach

Pushmeet Kohli

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010

Bayesian Online Learning for Multi-label and Multi-variate Performance Measures.

[BibT_eX]

[DOI]

Xinhua Zhang

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Coherent Inference on Optimal Play in Game Trees.

[BibT_eX]

[DOI]

Philipp Hennig

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Bayesian Knowledge Corroboration with Logical Rules and User Feedback.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine.

[BibT_eX]

[DOI]

Joaquin Quiñonero Candela

Thomas Borchert

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Collaborative Expert Portfolio Management.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Novel tools to streamline the conference review process: experiences from SIGKDD'09.

[BibT_eX]

[DOI]

SIGKDD Explor., 2009

Matchbox: large scale online bayesian recommendations.

[BibT_eX]

[DOI]

Joaquin Quiñonero Candela

Proceedings of the 18th International Conference on World Wide Web, 2009

Scalable clustering and keyword suggestion for online advertisements.

[BibT_eX]

[DOI]

Anton Schwaighofer

Thomas Borchert

Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009

2008

Large scale data analysis and modelling in online services and advertising.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

TrueSkill Through Time: Revisiting the History of Chess.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning to solve game trees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

2006

Machine learning and games.

[BibT_eX]

[DOI]

Mach. Learn., 2006

TrueSkill<sup>TM</sup>: A Bayesian Skill Rating System.

[BibT_eX]

[DOI]

Tom Minka

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Bayesian pattern ranking for move prediction in the game of Go.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

2005

PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.

[BibT_eX]

[DOI]

Mach. Learn., 2005

Generalization Bounds for the Area Under the ROC Curve.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2005

Poisson-Networks: A Model for Structured Poisson Processes.

[BibT_eX]

[DOI]

Shyamsundar Rajaram

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Modelling Uncertainty in the Game of Go.

[BibT_eX]

[DOI]

David J. C. MacKay

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A Large Deviation Bound for the Area Under the ROC Curve.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Introduction to the Special Issue on Learning Theory.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Semi-Definite Programming by Perceptron Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Invariant Pattern Recognition by Semi-Definite Programming Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Solving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Reducing Kernel Matrix Diagonal Dominance Using Semi-definite Programming.

[BibT_eX]

[DOI]

Jaz S. Kandola

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Combining Conjugate Direction Methods with Stochastic Approximation of Gradients.

[BibT_eX]

[DOI]

Nicol N. Schraudolph

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

PAC-Bayesian pattern classification with kernels: theory, algorithms, and an application to the game of Go.

[BibT_eX]

[DOI]

PhD thesis, 2002

A PAC-Bayesian margin bound for linear classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2002

Kernel Methods for Document Filtering.

[BibT_eX]

[DOI]

Proceedings of The Eleventh Text REtrieval Conference, 2002

Conjugate Directions for Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Nicol N. Schraudolph

Proceedings of the Artificial Neural Networks, 2002

Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems.

[BibT_eX]

[DOI]

Nicol N. Schraudolph

Proceedings of the Artificial Neural Networks, 2002

Kernel Matrix Completion by Semidefinite Programming.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

2001

Bayes Point Machines.

[BibT_eX]

[DOI]

Colin Campbell

J. Mach. Learn. Res., 2001

Learning on Graphs in the Game of Go.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

2000

Large Scale Bayes Point Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

From Margin to Sparsity.

[BibT_eX]

[DOI]

Robert C. Williamson

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

The Kernel Gibbs Sampler.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Robust Bayes Point Machines.

[BibT_eX]

[DOI]

Colin Campbell

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

Gaussian Process Regression: Active Data Selection and Test Point Rejection.

[BibT_eX]

[DOI]

Proceedings of the Mustererkennung 2000, 2000

Sparsity vs. Large Margins for Linear Classifiers.

[BibT_eX]

Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

Generalisation Error Bounds for Sparse Linear Classifiers.

[BibT_eX]

Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1999

A Stochastic Self-Organizing Map for Proximity Data.

[BibT_eX]

[DOI]

Neural Comput., 1999

Bayesian Transduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Self-organizing maps: Generalizations and new optimization techniques.

[BibT_eX]

[DOI]

Matthias Burger

Neurocomputing, 1998

Classification on Pairwise Proximity Data.

[BibT_eX]

[DOI]

Peter Bollmann-Sdorra

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

An Annealed Self-Organizing Map for Source Channel Coding.

[BibT_eX]

[DOI]

Matthias Burger

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Phase Transitions in Soft Topographic Vector Quantization.

[BibT_eX]

[DOI]

Matthias Burger