Tobias Glasmachers

According to our database1, Tobias Glasmachers authored at least 57 papers between 2005 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Challenges of Convex Quadratic Bi-objective Benchmark Problems.
CoRR, 2018

Dual SVM Training on a Budget.
CoRR, 2018

Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search.
CoRR, 2018

Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training.
CoRR, 2018

Challenges in High-dimensional Reinforcement Learning with Evolution Strategies.
CoRR, 2018

Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule.
CoRR, 2018

Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization.
CoRR, 2017

Global Convergence of the (1+1) Evolution Strategy.
CoRR, 2017

Limits of End-to-End Learning.
CoRR, 2017

Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Qualitative and Quantitative Assessment of Step Size Adaptation Rules.
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

A Fast Incremental BSP Tree Archive for Non-dominated Points.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Limits of End-to-End Learning.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
A Unified View on Multi-class Support Vector Classification.
Journal of Machine Learning Research, 2016

Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES).
CoRR, 2016

A Fast Incremental Archive for Multi-objective Optimization.
CoRR, 2016

Fast model selection by limiting SVM training times.
CoRR, 2016

Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES).
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
A CMA-ES with Multiplicative Covariance Matrix Updates.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Natural evolution strategies.
Journal of Machine Learning Research, 2014

Coordinate Descent with Online Adaptation of Coordinate Frequencies.
CoRR, 2014

Start Small, Grow Big? Saving Multi-objective Function Evaluations.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Optimized Approximation Sets for Low-Dimensional Benchmark Pareto Fronts.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Information geometry in evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Handling sharp ridges with local supremum transformations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Testing Hypotheses by Regularized Maximum Mean Discrepancy
CoRR, 2013

Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies
CoRR, 2013

The Planning-ahead SMO Algorithm.
CoRR, 2013

Approximation properties of DBNs with binary hidden units and real-valued visible units.
Proceedings of the 30th International Conference on Machine Learning, 2013

A natural evolution strategy with asynchronous strategy updates.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Accelerated Coordinate Descent with Adaptive Coordinate Frequencies.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Kernel representations for evolving continuous functions.
Evolutionary Intelligence, 2012

Convergence of the IGO-Flow of Isotropic Gaussian Distributions on Convex Quadratic Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Natural Evolution Strategies
CoRR, 2011

High dimensions and heavy tails for natural evolution strategies.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Novelty-based restarts for evolution strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Coherence Progress: A Measure of Interestingness Based on Fixed Compressors.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Optimal Direct Policy Search.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A Natural Evolution Strategy for Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2010

Universal Consistency of Multi-Class Support Vector Classification.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Exponential natural evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2008
Gradient based optimization of support vector machines.
PhD thesis, 2008

Second-Order SMO Improves SVM Online and Active Learning.
Neural Computation, 2008

Shark.
Journal of Machine Learning Research, 2008

Uncertainty Handling in Model Selection for Support Vector Machines.
Proceedings of the Parallel Problem Solving from Nature, 2008

On related violating pairs for working set selection in SMO algorithms.
Proceedings of the ESANN 2008, 2008

2007
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection.
IEEE/ACM Trans. Comput. Biology Bioinform., 2007

Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts.
Int. J. Neural Syst., 2007

2006
Maximum-Gain Working Set Selection for SVMs.
Journal of Machine Learning Research, 2006

Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts.
Proceedings of the Artificial Neural Networks, 2006

Degeneracy in model selection for SVMs with radial Gaussian kernel.
Proceedings of the ESANN 2006, 2006

2005
Gradient-Based Adaptation of General Gaussian Kernels.
Neural Computation, 2005


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