Fabien Teytaud

Orcid: 0000-0002-6670-732X

According to our database1, Fabien Teytaud authored at least 52 papers between 2009 and 2022.

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Bibliography

2022
Fairness in generative modeling.
CoRR, 2022

Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Fairness in generative modeling: do it unsupervised!
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Upper confidence tree for planning restart strategies in multi-modal optimization.
Soft Comput., 2021

Short term soil moisture forecasts for potato crop farming: A machine learning approach.
Comput. Electron. Agric., 2021

Guided-Generative Network for noise detection in Monte-Carlo rendering.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Polygames: Improved zero learning.
J. Int. Comput. Games Assoc., 2020

Fully Parallel Hyperparameter Search: Reshaped Space-Filling.
Proceedings of the 37th International Conference on Machine Learning, 2020

Versatile black-box optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

EvolGAN: Evolutionary Generative Adversarial Networks.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Fully Parallel Hyperparameter Search: Reshaped Space-Filling.
CoRR, 2019

BCMA-ES: A Bayesian approach to CMA-ES.
CoRR, 2019

Automatic Calibration of a Farm Irrigation Model: A Multi-Modal Optimization Approach.
Proceedings of the Artificial Evolution, 2019

2018
Generating Term Weighting Schemes Through Genetic Programming.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Information Gain Based Term Weighting Method for Multi-label Text Classification Task.
Proceedings of the Intelligent Systems and Applications, 2018

Improving Multi-modal Optimization Restart Strategy Through Multi-armed Bandit.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Multi-Armed Bandit for Stratified Sampling: Application to Numerical Integration.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

A Comparative Study on Term Weighting Schemes for Text Classification.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

2016
Automatically Reinforcing a Game AI.
CoRR, 2016

QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Learning opening books in partially observable games: Using random seeds in Phantom Go.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Pruning Playouts in Monte-Carlo Tree Search for the Game of Havannah.
Proceedings of the Computers and Games - 9th International Conference, 2016

2015
On the Tactical and Strategic Behaviour of MTCS when Biasing Random Simulations.
J. Int. Comput. Games Assoc., 2015

Parallel Evolutionary Algorithms Performing Pairwise Comparisons.
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

Differential evolution for strongly noisy optimization: Use 1: 01<sup>n</sup> resamplings at iteration n and Reach the -1/2 slope.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms.
Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014

A Critical Reassessment of Evolutionary Algorithms on the cryptanalysis of the simplified data encryption standard algorithm.
CoRR, 2014

A Survey of Meta-heuristics Used for Computing Maximin Latin Hypercube.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014

Monte-Carlo Tree Search for the Game of "7 Wonders".
Proceedings of the Computer Games - Third Workshop on Computer Games, 2014

2013
Investigating Monte-Carlo Methods on the Weak Schur Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

Algorithm and knowledge engineering for the TSPTW problem.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013

2012
Application of the Nested Rollout Policy Adaptation Algorithm to the Traveling Salesman Problem with Time Windows.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

2011
Introduction of statistics in optimization. (Introduction de statistiques en optimisation).
PhD thesis, 2011

Human vs. Computer Go Competition in FUZZ-IEEE 2011.
J. Int. Comput. Games Assoc., 2011

Simple tools for multimodal optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows.
Proceedings of the Applications of Evolutionary Computation, 2011

Lemmas on partial observation, with application to phantom games.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

Random positions in Go.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

Computational and human intelligence in blind Go.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize.
Proceedings of the Artificial Evolution, 2011

Towards a Solution of 7x7 Go with Meta-MCTS.
Proceedings of the Advances in Computer Games - 13th International Conference, 2011

2010
Intelligent Agents for the Game of Go.
IEEE Comput. Intell. Mag., 2010

Log(lambda) Modifications for Optimal Parallelism.
Proceedings of the Parallel Problem Solving from Nature, 2010

A New Selection Ratio for Large Population Sizes.
Proceedings of the Applications of Evolutionary Computation, 2010

Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search.
Proceedings of the Applications of Evolutionary Computation, 2010

On the huge benefit of decisive moves in Monte-Carlo Tree Search algorithms.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

Biasing Monte-Carlo Simulations through RAVE Values.
Proceedings of the Computers and Games - 7th International Conference, 2010

Scalability and Parallelization of Monte-Carlo Tree Search.
Proceedings of the Computers and Games - 7th International Conference, 2010

2009
Why one must use reweighting in estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies.
Proceedings of the Applications of Evolutionary Computing, 2009

On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Creating an Upper-Confidence-Tree Program for Havannah.
Proceedings of the Advances in Computer Games, 12th International Conference, 2009


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