Marie-Liesse Cauwet

According to our database, Marie-Liesse Cauwet authored at least 16 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the 37th International Conference on Machine Learning, 2020

Population control meets doob's martingale theorems: the noise-free multimodal case.

Marie-Liesse Cauwet, Olivier Teytaud

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

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

Openly revisiting derivative-free optimization.

Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Surprising Strategies Obtained by Stochastic Optimization in Partially Observable Games.

Marie-Liesse Cauwet, Olivier Teytaud

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2016

Simple and cumulative regret for continuous noisy optimization.

Sandra Astete Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud

Theor. Comput. Sci., 2016

Algorithm portfolios for noisy optimization.

Marie-Liesse Cauwet, Jialin Liu, Baptiste Rozière, Olivier Teytaud

Ann. Math. Artif. Intell., 2016

Multivariate bias reduction in capacity expansion planning.

Marie-Liesse Cauwet, Olivier Teytaud

Proceedings of the Power Systems Computation Conference, 2016

Analysis of Different Types of Regret in Continuous Noisy Optimization.

Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms.

Marie-Liesse Cauwet, Olivier Teytaud

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Criteria and Convergence Rates in Noisy Optimization.

Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolution Strategies with Additive Noise: A Convergence Rate Lower Bound.

Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud

Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 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

Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

Depth, balancing, and limits of the Elo model.

Marie-Liesse Cauwet, Olivier Teytaud, Tristan Cazenave, Abdallah Saffidine, Hua-Min Liang, Shi-Jim Yen, Hung-Hsuan Lin, I-Chen Wu

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

2014

Algorithm Portfolios for Noisy Optimization: Compare Solvers Early.

Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud

Proceedings of the Learning and Intelligent Optimization, 2014

Noisy Optimization: Convergence with a Fixed Number of Resamplings.

Marie-Liesse Cauwet

Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014