Add to ORKGInternational audienceWe consider the problem of optimizing functions corrupted with additive noise. It is known that evolutionary algo-rithms can reach a simple regret O(1/ √ n) within logarith-mic factors, when n is the number of function evaluations. We show mathematically that this bound is tight, at least for a wide family of evolution strategies without large mutations
The presence of noise in real-world optimization problems poses difficulties to optimization strateg...
International audienceIn Noisy Optimization, one of the most common way to deal with noise is throug...
International audienceIn Noisy Optimization, one of the most common way to deal with noise is throug...
International audienceWe consider the problem of optimizing functions corrupted with additive noise....
International audienceWe consider the problem of optimizing functions corrupted with additive noise....
International audienceWe consider the problem of optimizing functions corrupted with additive noise....
International audienceWe consider the problem of optimizing functions corrupted with additive noise....
International audienceIt is known that evolution strategies in continuous domains might not converge...
International audienceIt is known that evolution strategies in continuous domains might not converge...
Abstract. It is known that evolution strategies in continuous domains might not converge in the pres...
International audienceThe mathematical analysis of optimization algorithms involves upper and lower ...
International audienceThe mathematical analysis of optimization algorithms involves upper and lower ...
International audienceIn spite of various recent publications on the subject, there are still gaps b...
International audienceIn spite of various recent publications on the subject, there are still gaps b...
The presence of noise in real-world optimization problems poses difficulties to optimization strateg...
The presence of noise in real-world optimization problems poses difficulties to optimization strateg...
International audienceIn Noisy Optimization, one of the most common way to deal with noise is throug...
International audienceIn Noisy Optimization, one of the most common way to deal with noise is throug...
International audienceWe consider the problem of optimizing functions corrupted with additive noise....
International audienceWe consider the problem of optimizing functions corrupted with additive noise....
International audienceWe consider the problem of optimizing functions corrupted with additive noise....
International audienceWe consider the problem of optimizing functions corrupted with additive noise....
International audienceIt is known that evolution strategies in continuous domains might not converge...
International audienceIt is known that evolution strategies in continuous domains might not converge...
Abstract. It is known that evolution strategies in continuous domains might not converge in the pres...
International audienceThe mathematical analysis of optimization algorithms involves upper and lower ...
International audienceThe mathematical analysis of optimization algorithms involves upper and lower ...
International audienceIn spite of various recent publications on the subject, there are still gaps b...
International audienceIn spite of various recent publications on the subject, there are still gaps b...
The presence of noise in real-world optimization problems poses difficulties to optimization strateg...
The presence of noise in real-world optimization problems poses difficulties to optimization strateg...
International audienceIn Noisy Optimization, one of the most common way to deal with noise is throug...
International audienceIn Noisy Optimization, one of the most common way to deal with noise is throug...