Thore Graepel

According to our database1, Thore Graepel authored at least 101 papers between 1997 and 2018.

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Bibliography

2018
Relational Forward Models for Multi-Agent Learning.
CoRR, 2018

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.
CoRR, 2018

Adaptive Mechanism Design: Learning to Promote Cooperation.
CoRR, 2018

Re-evaluating evaluation.
CoRR, 2018

Inequity aversion resolves intertemporal social dilemmas.
CoRR, 2018

A Generalised Method for Empirical Game Theoretic Analysis.
CoRR, 2018

The Mechanics of n-Player Differentiable Games.
CoRR, 2018

The Mechanics of n-Player Differentiable Games.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Generalised Method for Empirical Game Theoretic Analysis.
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.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.
CoRR, 2017

Symmetric Decomposition of Asymmetric Games.
CoRR, 2017

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning.
CoRR, 2017

Value-Decomposition Networks For Cooperative Multi-Agent Learning.
CoRR, 2017

A multi-agent reinforcement learning model of common-pool resource appropriation.
CoRR, 2017

Multi-agent Reinforcement Learning in Sequential Social Dilemmas.
CoRR, 2017

A multi-agent reinforcement learning model of common-pool resource appropriation.
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.
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.
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.
Nature, 2016

Learning Shared Representations in Multi-task Reinforcement Learning.
CoRR, 2016

2015
The Wreath Process: A totally generative model of geometric shape based on nested symmetries.
CoRR, 2015

Probabilistic Programs as Spreadsheet Queries.
Proceedings of the Programming Languages and Systems, 2015

2014
Manifestations of user personality in website choice and behaviour on online social networks.
Machine Learning, 2014

A Comparison of learning algorithms on the Arcade Learning Environment.
CoRR, 2014

Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles.
Proceedings of the Social Informatics - SocInfo 2014 International Workshops, Barcelona, 2014

Tabular: a schema-driven probabilistic programming language.
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.
Proceedings of the Advances in Information Retrieval, 2014

Your digital image: factors behind demographic and psychometric predictions from social network profiles.
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.
Proceedings of the 22nd International World Wide Web Conference, 2013

A model-learner pattern for bayesian reasoning.
Proceedings of the 40th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2013

SIGMa: simple greedy matching for aligning large knowledge bases.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Automated probabilistic modeling for relational data.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Kernel Topic Models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

ML Confidential: Machine Learning on Encrypted Data.
IACR Cryptology ePrint Archive, 2012

Compiling Relational Database Schemata into Probabilistic Graphical Models
CoRR, 2012

SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases
CoRR, 2012

Crowd IQ: measuring the intelligence of crowdsourcing platforms.
Proceedings of the Web Science 2012, 2012

Colonel Blotto on Facebook: the effect of social relations on strategic interaction.
Proceedings of the Web Science 2012, 2012

Personality and patterns of Facebook usage.
Proceedings of the Web Science 2012, 2012

Collaborative learning of preference rankings.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Score-Based Bayesian Skill Learning.
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.
Proceedings of the 29th International Conference on Machine Learning, 2012

ML Confidential: Machine Learning on Encrypted Data.
Proceedings of the Information Security and Cryptology - ICISC 2012, 2012

Crowd IQ: aggregating opinions to boost performance.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Quality Expectation-Variance Tradeoffs in Crowdsourcing Contests.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Kernel Topic Models
CoRR, 2011

CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise.
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.
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.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Automated feature generation from structured knowledge.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

DBrev: Dreaming of a Database Revolution.
Proceedings of the CIDR 2011, 2011

Rip-off: playing the cooperative negotiation game.
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.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Coherent Inference on Optimal Play in Game Trees.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Bayesian Knowledge Corroboration with Logical Rules and User Feedback.
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.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Collaborative Expert Portfolio Management.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Novel tools to streamline the conference review process: experiences from SIGKDD'09.
SIGKDD Explorations, 2009

Matchbox: large scale online bayesian recommendations.
Proceedings of the 18th International Conference on World Wide Web, 2009

Scalable clustering and keyword suggestion for online advertisements.
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.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
TrueSkill Through Time: Revisiting the History of Chess.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning to solve game trees.
Proceedings of the Machine Learning, 2007

2006
Machine learning and games.
Machine Learning, 2006

TrueSkillTM: A Bayesian Skill Rating System.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Bayesian pattern ranking for move prediction in the game of Go.
Proceedings of the Machine Learning, 2006

2005
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.
Machine Learning, 2005

Generalization Bounds for the Area Under the ROC Curve.
Journal of Machine Learning Research, 2005

Poisson-Networks: A Model for Structured Poisson Processes.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Modelling Uncertainty in the Game of Go.
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.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Introduction to the Special Issue on Learning Theory.
Journal of Machine Learning Research, 2003

Semi-Definite Programming by Perceptron Learning.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Invariant Pattern Recognition by Semi-Definite Programming Machines.
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.
Proceedings of the Machine Learning, 2003

Reducing Kernel Matrix Diagonal Dominance Using Semi-definite Programming.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Combining Conjugate Direction Methods with Stochastic Approximation of Gradients.
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.
PhD thesis, 2002

A PAC-Bayesian margin bound for linear classifiers.
IEEE Trans. Information Theory, 2002

Kernel Methods for Document Filtering.
Proceedings of The Eleventh Text REtrieval Conference, 2002

Conjugate Directions for Stochastic Gradient Descent.
Proceedings of the Artificial Neural Networks, 2002

Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems.
Proceedings of the Artificial Neural Networks, 2002

Kernel Matrix Completion by Semidefinite Programming.
Proceedings of the Artificial Neural Networks, 2002

2001
Bayes Point Machines.
Journal of Machine Learning Research, 2001

Learning on Graphs in the Game of Go.
Proceedings of the Artificial Neural Networks, 2001

2000
Large Scale Bayes Point Machines.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

From Margin to Sparsity.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

The Kernel Gibbs Sampler.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Gaussian Process Regression: Active Data Selection and Test Point Rejection.
IJCNN (3), 2000

Robust Bayes Point Machines.
Proceedings of the ESANN 2000, 2000

Gaussian Process Regression: Active Data Selection and Test Point Rejection.
Proceedings of the Mustererkennung 2000, 2000

Sparsity vs. Large Margins for Linear Classifiers.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

Generalisation Error Bounds for Sparse Linear Classifiers.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1999
A Stochastic Self-Organizing Map for Proximity Data.
Neural Computation, 1999

Bayesian Transduction.
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.
Neurocomputing, 1998

Classification on Pairwise Proximity Data.
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.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Phase Transitions in Soft Topographic Vector Quantization.
Proceedings of the Artificial Neural Networks, 1997


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