
Global Convergence of the (1+1) Evolution Strategy
We establish global convergence of the (1+1)ES algorithm, i.e., converg...
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LimitedMemory Matrix Adaptation for Large Scale Blackbox Optimization
The Covariance Matrix Adaptation Evolution Strategy (CMAES) is a popula...
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Anytime BiObjective Optimization with a Hybrid MultiObjective CMAES (HMOCMAES)
We propose a multiobjective optimization algorithm aimed at achieving g...
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Limits of EndtoEnd Learning
Endtoend learning refers to training a possibly complex learning syste...
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Fast model selection by limiting SVM training times
Kernelized Support Vector Machines (SVMs) are among the best performing ...
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Coordinate Descent with Online Adaptation of Coordinate Frequencies
Coordinate descent (CD) algorithms have become the method of choice for ...
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Testing Hypotheses by Regularized Maximum Mean Discrepancy
Do two data samples come from different distributions? Recent studies of...
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Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies
Support vector machine (SVM) training is an active research area since t...
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Natural Evolution Strategies
This paper presents Natural Evolution Strategies (NES), a recent family ...
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Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)ES with 1/5 Success Rule
This paper explores the use of the standard approach for proving runtime...
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Challenges in Highdimensional Reinforcement Learning with Evolution Strategies
Evolution Strategies (ESs) have recently become popular for training dee...
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Dual SVM Training on a Budget
We present a dual subspace ascent algorithm for support vector machine t...
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Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search
Limiting the model size of a kernel support vector machine to a predefi...
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MultiMerge Budget Maintenance for Stochastic Gradient Descent SVM Training
Budgeted Stochastic Gradient Descent (BSGD) is a stateoftheart techni...
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Challenges of Convex Quadratic Biobjective Benchmark Problems
Convex quadratic objective functions are an important base case in state...
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Vehicle Shape and Color Classification Using Convolutional Neural Network
This paper presents a module of vehicle reidentification based on make/m...
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The Hessian Estimation Evolution Strategy
We present a novel black box optimization algorithm called Hessian Estim...
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Tobias Glasmachers
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Professor for theory of machine learning at the Institut für Neuroinformatik