11 citations · 12 across the 3 of their papers we have counts for
5 papers
Population Control meets Doob's Martingale Theorems: the Noise-free Multimodal Case
Marie-Liesse Cauwet, Olivier Teytaud
We study a test-based population size adaptation (TBPSA) method, inspired from population control, in the noise-free multimodal case. In the noisy setting, TBPSA usually recommends…
Fully Parallel Hyperparameter Search: Reshaped Space-Filling
M. -L. Cauwet, C. Couprie, J. Dehos +5
Space-filling designs such as scrambled-Hammersley, Latin Hypercube Sampling and Jittered Sampling have been proposed for fully parallel hyperparameter search, and were shown to be…
Surprising strategies obtained by stochastic optimization in partially observable games
Marie-Liesse Cauwet, Olivier Teytaud
This paper studies the optimization of strategies in the context of possibly randomized two players zero-sum games with incomplete information. We compare 5 algorithms for tuning t…
Analysis of Different Types of Regret in Continuous Noisy Optimization
Sandra Astete-Morales, Marie-Liesse Cauwet, Olivier Teytaud
The performance measure of an algorithm is a crucial part of its analysis. The performance can be determined by the study on the convergence rate of the algorithm in question. It i…
Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms
Marie-Liesse Cauwet, Olivier Teytaud
Derivative Free Optimization is known to be an efficient and robust method to tackle the black-box optimization problem. When it comes to noisy functions, classical comparison-base…