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Marie-Liesse Cauwet
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2020 – today
- 2020
- [c13]Marie-Liesse Cauwet, Olivier Teytaud:
Population control meets doob's martingale theorems: the noise-free multimodal case. GECCO Companion 2020: 321-322 - [c12]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: 1338-1348 - [i4]Marie-Liesse Cauwet, Olivier Teytaud:
Population Control meets Doob's Martingale Theorems: the Noise-free Multimodal Case. CoRR abs/2005.13970 (2020)
2010 – 2019
- 2019
- [c11]Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud:
Openly revisiting derivative-free optimization. GECCO (Companion) 2019: 267-268 - [i3]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 abs/1910.08406 (2019) - 2018
- [c10]Marie-Liesse Cauwet, Olivier Teytaud:
Surprising Strategies Obtained by Stochastic Optimization in Partially Observable Games. CEC 2018: 1-8 - [i2]Marie-Liesse Cauwet, Olivier Teytaud:
Surprising strategies obtained by stochastic optimization in partially observable games. CoRR abs/1807.01877 (2018) - 2016
- [j2]Marie-Liesse Cauwet, Jialin Liu, Baptiste Rozière, Olivier Teytaud:
Algorithm portfolios for noisy optimization. Ann. Math. Artif. Intell. 76(1-2): 143-172 (2016) - [j1]Sandra Astete Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud:
Simple and cumulative regret for continuous noisy optimization. Theor. Comput. Sci. 617: 12-27 (2016) - [c9]Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud:
Analysis of Different Types of Regret in Continuous Noisy Optimization. GECCO 2016: 205-212 - [c8]Marie-Liesse Cauwet, Olivier Teytaud:
Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms. GECCO 2016: 1101-1106 - [c7]Marie-Liesse Cauwet, Olivier Teytaud:
Multivariate bias reduction in capacity expansion planning. PSCC 2016: 1-8 - 2015
- [c6]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: 376-382 - [c5]Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud:
Evolution Strategies with Additive Noise: A Convergence Rate Lower Bound. FOGA 2015: 76-84 - [c4]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: 99-113 - [c3]Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud:
Criteria and Convergence Rates in Noisy Optimization. GECCO (Companion) 2015: 1347-1348 - [i1]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 abs/1511.02006 (2015) - 2014
- [c2]Marie-Liesse Cauwet:
Noisy Optimization: Convergence with a Fixed Number of Resamplings. EvoApplications 2014: 603-614 - [c1]Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud:
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early. LION 2014: 1-15
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