Marie-Liesse Cauwet

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 17

Top Topics

Pairwise Comparison

Stochastic Optimization

Convergence Rate

Top Venues

GECCO (Companion)

Publications

Marie-Liesse Cauwet, Olivier Teytaud
Population Control meets Doob's Martingale Theorems: the Noise-free Multimodal Case. CoRR (2020)
Marie-Liesse Cauwet, Olivier Teytaud
Population control meets doob's martingale theorems: the noise-free multimodal case. GECCO Companion (2020)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML (2020)
Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud
Openly revisiting derivative-free optimization. GECCO (Companion) (2019)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. CoRR (2019)
Marie-Liesse Cauwet, Olivier Teytaud
Surprising strategies obtained by stochastic optimization in partially observable games. CoRR (2018)
Marie-Liesse Cauwet, Olivier Teytaud
Surprising Strategies Obtained by Stochastic Optimization in Partially Observable Games. CEC (2018)
Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
Analysis of Different Types of Regret in Continuous Noisy Optimization. GECCO (2016)
Marie-Liesse Cauwet, Jialin Liu, Baptiste Rozière, Olivier Teytaud
Algorithm portfolios for noisy optimization. Ann. Math. Artif. Intell. 76 (1-2) (2016)
Marie-Liesse Cauwet, Olivier Teytaud
Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms. GECCO (2016)
Sandra Astete Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
Simple and cumulative regret for continuous noisy optimization. Theor. Comput. Sci. 617 (2016)
Marie-Liesse Cauwet, Olivier Teytaud
Multivariate bias reduction in capacity expansion planning. PSCC (2016)
Marie-Liesse Cauwet, Olivier Teytaud, Tristan Cazenave, Abdallah Saffidine, Hua-Min Liang, Shi-Jim Yen, Hung-Hsuan Lin, I-Chen Wu
Depth, balancing, and limits of the Elo model. CIG (2015)
Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
Evolution Strategies with Additive Noise: A Convergence Rate Lower Bound. FOGA (2015)
Marie-Liesse Cauwet, Olivier Teytaud, Hua-Min Liang, Shi-Jim Yen, Hung-Hsuan Lin, I-Chen Wu, Tristan Cazenave, Abdallah Saffidine
Depth, balancing, and limits of the Elo model. CoRR (2015)
Marie-Liesse Cauwet, Olivier Teytaud, Shih-Yuan Chiu, Kuo-Min Lin, Shi-Jim Yen, David Lupien St-Pierre, Fabien Teytaud
Parallel Evolutionary Algorithms Performing Pairwise Comparisons. FOGA (2015)
Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
Criteria and Convergence Rates in Noisy Optimization. GECCO (Companion) (2015)
Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early. LION (2014)
Marie-Liesse Cauwet
Noisy Optimization: Convergence with a Fixed Number of Resamplings. EvoApplications (2014)