Creating an Upper-Confidence-Tree Program for Havannah. - Fabien Teytaud; Olivier Teytaud (ACG, 2009)

On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers. - Guillaume Chaslot; Jean-Baptiste Hoock; Fabien Teytaud; Olivier Teytaud (ESANN, 2009)

On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies. - Fabien Teytaud; Olivier Teytaud (EvoWorkshops, 2009)

Why one must use reweighting in estimation of distribution algorithms. - Fabien Teytaud; Olivier Teytaud (GECCO, 2009)

Scalability and Parallelization of Monte-Carlo Tree Search. - Amine Bourki; Guillaume Chaslot; Matthieu Coulm; Vincent Danjean; Hassen Doghmen; Jean-Baptiste Hoock; Thomas Hérault; Arpad Rimmel; Fabien Teytaud; Olivier Teytaud; Paul Vayssière; Ziqin Yut (Computers and Games, 2010)

Biasing Monte-Carlo Simulations through RAVE Values. - Arpad Rimmel; Fabien Teytaud; Olivier Teytaud (Computers and Games, 2010)

On the huge benefit of decisive moves in Monte-Carlo Tree Search algorithms. - Fabien Teytaud; Olivier Teytaud (CIG, 2010)

Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search. - Arpad Rimmel; Fabien Teytaud (EvoApplications (1), 2010)

A New Selection Ratio for Large Population Sizes. - Fabien Teytaud (EvoApplications (1), 2010)

Log(lambda) Modifications for Optimal Parallelism. - Fabien Teytaud; Olivier Teytaud (PPSN (1), 2010)

Intelligent Agents for the Game of Go. - Jean-Baptiste Hoock; Chang-Shing Lee; Arpad Rimmel; Fabien Teytaud; Mei-Hui Wang; Olivier Teytaud (IEEE Comput. Intell. Mag., 2010)

Towards a Solution of 7x7 Go with Meta-MCTS. - Cheng-Wei Chou; Ping-Chiang Chou; Hassen Doghmen; Chang-Shing Lee; Tsan-Cheng Su; Fabien Teytaud; Olivier Teytaud; Hui-Min Wang; Mei-Hui Wang; Li-Wen Wu; Shi-Jim Yen (ACG, 2011)

A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize. - Marc Schoenauer; Fabien Teytaud; Olivier Teytaud (Artificial Evolution, 2011)

Computational and human intelligence in blind Go. - Ping-Chiang Chou; Hassen Doghmen; Chang-Shing Lee; Fabien Teytaud; Olivier Teytaud; Hui-Min Wang; Mei-Hui Wang; Li-Wen Wu; Shi-Jim Yen (CIG, 2011)

Random positions in Go. - Bernard Helmstetter; Chang-Shing Lee; Fabien Teytaud; Olivier Teytaud; Mei-Hui Wang; Shi-Jim Yen (CIG, 2011)

Lemmas on partial observation, with application to phantom games. - Fabien Teytaud; Olivier Teytaud (CIG, 2011)

Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows. - Arpad Rimmel; Fabien Teytaud; Tristan Cazenave (EvoApplications (2), 2011)

Simple tools for multimodal optimization. - Marc Schoenauer; Fabien Teytaud; Olivier Teytaud (GECCO (Companion), 2011)

Human vs. Computer Go Competition in FUZZ-IEEE 2011. - Shi-Jim Yen; Shih-Yuan Chiu; Cheng-Wei Chou; Chang-Shing Lee; Hassen Doghmen; Fabien Teytaud; Olivier Teytaud (J. Int. Comput. Games Assoc., 2011)

Introduction of statistics in optimization. (Introduction de statistiques en optimisation). - Fabien Teytaud (2011)

Application of the Nested Rollout Policy Adaptation Algorithm to the Traveling Salesman Problem with Time Windows. - Tristan Cazenave; Fabien Teytaud (LION, 2012)

Algorithm and knowledge engineering for the TSPTW problem. - Stefan Edelkamp; Max Gath; Tristan Cazenave; Fabien Teytaud (CISched, 2013)

Investigating Monte-Carlo Methods on the Weak Schur Problem. - Shalom Eliahou; Cyril Fonlupt; Jean Fromentin; Virginie Marion-Poty; Denis Robilliard; Fabien Teytaud (EvoCOP, 2013)

Monte-Carlo Tree Search for the Game of "7 Wonders". - Denis Robilliard; Cyril Fonlupt; Fabien Teytaud (CGW@ECAI, 2014)

A Survey of Meta-heuristics Used for Computing Maximin Latin Hypercube. - Arpad Rimmel; Fabien Teytaud (EvoCOP, 2014)

A Critical Reassessment of Evolutionary Algorithms on the cryptanalysis of the simplified data encryption standard algorithm. - Fabien Teytaud; Cyril Fonlupt (CoRR, 2014)

Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms. - Fabien Teytaud; Olivier Teytaud (Theory and Principled Methods for the Design of Metaheuristics, 2014)

Differential evolution for strongly noisy optimization: Use 1: 01n resamplings at iteration n and Reach the -1/2 slope. - Shih-Yuan Chiu; Ching-Nung Lin; Jialin Liu 001; Tsan-Cheng Su; Fabien Teytaud; Olivier Teytaud; Shi-Jim Yen (CEC, 2015)

Parallel Evolutionary Algorithms Performing Pairwise Comparisons. - Marie-Liesse Cauwet; Olivier Teytaud; Shih-Yuan Chiu; Kuo-Min Lin; Shi-Jim Yen; David Lupien St-Pierre; Fabien Teytaud (FOGA, 2015)

On the Tactical and Strategic Behaviour of MTCS when Biasing Random Simulations. - Fabien Teytaud; Julien Dehos (J. Int. Comput. Games Assoc., 2015)

Pruning Playouts in Monte-Carlo Tree Search for the Game of Havannah. - Joris Duguépéroux; Ahmad Mazyad; Fabien Teytaud; Julien Dehos (Computers and Games, 2016)

Learning opening books in partially observable games: Using random seeds in Phantom Go. - Tristan Cazenave; Jialin Liu 001; Fabien Teytaud; Olivier Teytaud (CIG, 2016)

QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal Problems. - Fabien Teytaud; Olivier Teytaud (GECCO (Companion), 2016)

Automatically Reinforcing a Game AI. - David Lupien St-Pierre; Jean-Baptiste Hoock; Jialin Liu 001; Fabien Teytaud; Olivier Teytaud (CoRR, 2016)

A Comparative Study on Term Weighting Schemes for Text Classification. - Ahmad Mazyad; Fabien Teytaud; Cyril Fonlupt (MOD, 2017)

Multi-Armed Bandit for Stratified Sampling: Application to Numerical Integration. - Florian Leprêtre; Fabien Teytaud; Julien Dehos (TAAI, 2017)

Improving Multi-modal Optimization Restart Strategy Through Multi-armed Bandit. - Amaury Dubois; Julien Dehos; Fabien Teytaud (ICMLA, 2018)

Information Gain Based Term Weighting Method for Multi-label Text Classification Task. - Ahmad Mazyad; Fabien Teytaud; Cyril Fonlupt (IntelliSys (1), 2018)

Generating Term Weighting Schemes Through Genetic Programming. - Ahmad Mazyad; Fabien Teytaud; Cyril Fonlupt (LOD, 2018)

Automatic Calibration of a Farm Irrigation Model: A Multi-Modal Optimization Approach. - Amaury Dubois; Fabien Teytaud; Éric Ramat; Sébastien Vérel (EA, 2019)

BCMA-ES: A Bayesian approach to CMA-ES. - Eric Benhamou; David Saltiel; Sébastien Vérel; Fabien Teytaud (CoRR, 2019)

Fully Parallel Hyperparameter Search: Reshaped Space-Filling. - Marie-Liesse Cauwet; Camille Couprie; Julien Dehos; Pauline Luc; Jérémy Rapin; Morgane Rivière; Fabien Teytaud; Olivier Teytaud (CoRR, 2019)

EvolGAN: Evolutionary Generative Adversarial Networks. - Baptiste Rozière; Fabien Teytaud; Vlad Hosu; Hanhe Lin; Jérémy Rapin; Mariia Zameshina; Olivier Teytaud (ACCV (4), 2020)

Versatile black-box optimization. - Jialin Liu 001; Antoine Moreau; Mike Preuss; Jérémy Rapin; Baptiste Rozière; Fabien Teytaud; Olivier Teytaud (GECCO, 2020)

Fully Parallel Hyperparameter Search: Reshaped Space-Filling. - Marie-Liesse Cauwet; Camille Couprie; Julien Dehos; Pauline Luc; Jérémy Rapin; Morgane Rivière; Fabien Teytaud; Olivier Teytaud; Nicolas Usunier (ICML, 2020)

Polygames: Improved zero learning. - Tristan Cazenave; Yen-Chi Chen; Guan-Wei Chen; Shi-Yu Chen; Xian-Dong Chiu; Julien Dehos; Maria Elsa; Qucheng Gong; Hengyuan Hu; Vasil Khalidov; Cheng-Ling Li; Hsin-I Lin; et al. (J. Int. Comput. Games Assoc., 2020)

Guided-Generative Network for noise detection in Monte-Carlo rendering. - Jérôme Buisine; Fabien Teytaud; Samuel Delepoulle; Christophe Renaud (ICMLA, 2021)

Short term soil moisture forecasts for potato crop farming: A machine learning approach. - Amaury Dubois; Fabien Teytaud; Sébastien Vérel (Comput. Electron. Agric., 2021)

Upper confidence tree for planning restart strategies in multi-modal optimization. - Amaury Dubois; Julien Dehos; Fabien Teytaud (Soft Comput., 2021)

Fairness in generative modeling: do it unsupervised! - Mariia Zameshina; Olivier Teytaud; Fabien Teytaud; Vlad Hosu; Nathanaël Carraz Rakotonirina; Laurent Najman; Markus Wagner 007 (GECCO Companion, 2022)

Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. - Risto Trajanov; Ana Nikolikj; Gjorgjina Cenikj; Fabien Teytaud; Mathurin Videau; Olivier Teytaud; Tome Eftimov; Manuel López-Ibáñez 001; Carola Doerr (PPSN (1), 2022)

Fairness in generative modeling. - Mariia Zameshina; Olivier Teytaud; Fabien Teytaud; Vlad Hosu; Nathanaël Carraz; Laurent Najman; Markus Wagner 007 (CoRR, 2022)