| 2025 | CEC | Exploring Parameter Influence on Empirical Drift Behavior for Variable-Metric Evolution Strategies. | Stephan Frank, Tobias Glasmachers |
| 2025 | FOGA | Additive drift is all you need - if you are an evolution strategy. | Tobias Glasmachers |
| 2025 | FOGA | Additive Drift as an Optimization Problem for the (1 + 1)-ES. | Alexander Jungeilges, Tobias Glasmachers |
| 2025 | GECCO | Variable Metric Evolution Strategies for High-dimensional Multi-Objective Optimization. | Tobias Glasmachers |
| 2025 | GECCO | Benchmarking the (1+1) Limited Memory Matrix Adaptation Evolution Strategy on the bbob-largescale Testbed. | Tobias Glasmachers |
| 2024 | EvoMUSART | Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music. | Justin Dettmer, Igor Vatolkin, Tobias Glasmachers |
| 2024 | PPSN | A Potential Function for a Variable-Metric Evolution Strategy. | Stephan Frank, Tobias Glasmachers |
| 2022 | ACML | AFRNN: Stable RNN with Top Down Feedback and Antisymmetry. | Tim Schwabe, Tobias Glasmachers, Maribel Acosta |
| 2022 | GECCO | DiBB: distributing black-box optimization. | Giuseppe Cuccu, Luca Rolshoven, Fabien Vorpe, Philippe Cudr-Mauroux, Tobias Glasmachers |
| 2022 | ICPR | Transfer Meta Learning. | Nico Zengeler, Tobias Glasmachers, Uwe Handmann |
| 2022 | PPSN | The (1+1)-ES Reliably Overcomes Saddle Points. | Tobias Glasmachers |
| 2021 | FOGA | Non-local optimization: imposing structure on optimization problems by relaxation. | Nils Mller, Tobias Glasmachers |
| 2020 | PPSN | The Hessian Estimation Evolution Strategy. | Tobias Glasmachers, Oswin Krause |
| 2019 | GECCO | Challenges of convex quadratic bi-objective benchmark problems. | Tobias Glasmachers |
| 2019 | ICANN | Boosting Reinforcement Learning with Unsupervised Feature Extraction. | Simon Hakenes, Tobias Glasmachers |
| 2019 | ICPRAM | Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training. | Sahar Qaadan, Abhijeet Pendyala, Merlin Schler, Tobias Glasmachers |
| 2019 | ICPRAM | Dual SVM Training on a Budget. | Sahar Qaadan, Merlin Schler, Tobias Glasmachers |
| 2019 | PACBB | Moment Vector Encoding of Protein Sequences for Supervised Classification. | Haneen Altartouri, Tobias Glasmachers |
| 2018 | GECCO | Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. | Youhei Akimoto, Anne Auger, Tobias Glasmachers |
| 2018 | ICMLA | User-Centered Development of a Pedestrian Assistance System Using End-to-End Learning. | Hasham Shahid Qureshi, Tobias Glasmachers, Rebecca Wiczorek |
| 2018 | PPSN | Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies. | Nils Mller, Tobias Glasmachers |
| 2017 | ACML | Limits of End-to-End Learning. | Tobias Glasmachers |
| 2017 | EMO | A Fast Incremental BSP Tree Archive for Non-dominated Points. | Tobias Glasmachers |
| 2017 | FOGA | Qualitative and Quantitative Assessment of Step Size Adaptation Rules. | Oswin Krause, Tobias Glasmachers, Christian Igel |
| 2017 | WACV | Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs. | Thomas Irmer, Tobias Glasmachers, Subhransu Maji |
| 2016 | GECCO | Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. | Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel |
| 2016 | GECCO | Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). | Ilya Loshchilov, Tobias Glasmachers |
| 2015 | GECCO | A CMA-ES with Multiplicative Covariance Matrix Updates. | Oswin Krause, Tobias Glasmachers |
| 2014 | GECCO | Handling sharp ridges with local supremum transformations. | Tobias Glasmachers |
| 2014 | GECCO | Information geometry in evolutionary computation. | Luigi Malag, Tobias Glasmachers |
| 2014 | PPSN | Optimized Approximation Sets for Low-Dimensional Benchmark Pareto Fronts. | Tobias Glasmachers |
| 2014 | PPSN | Start Small, Grow Big? Saving Multi-objective Function Evaluations. | Tobias Glasmachers, Boris Naujoks, Gnter Rudolph |
| 2013 | ACML | Accelerated Coordinate Descent with Adaptive Coordinate Frequencies. | Tobias Glasmachers, rn Dogan |
| 2013 | GECCO | A natural evolution strategy with asynchronous strategy updates. | Tobias Glasmachers |
| 2013 | ICML | Approximation properties of DBNs with binary hidden units and real-valued visible units. | Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel |
| 2012 | PPSN | Convergence of the IGO-Flow of Isotropic Gaussian Distributions on Convex Quadratic Problems. | Tobias Glasmachers |
| 2011 | CEC | Novelty-based restarts for evolution strategies. | Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers |
| 2011 | GECCO | High dimensions and heavy tails for natural evolution strategies. | Tom Schaul, Tobias Glasmachers, Jrgen Schmidhuber |
| 2010 | GECCO | Exponential natural evolution strategies. | Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jrgen Schmidhuber |
| 2010 | PPSN | A Natural Evolution Strategy for Multi-objective Optimization. | Tobias Glasmachers, Tom Schaul, Jrgen Schmidhuber |
| 2008 | ESANN | On related violating pairs for working set selection in SMO algorithms. | Tobias Glasmachers |
| 2008 | PPSN | Uncertainty Handling in Model Selection for Support Vector Machines. | Tobias Glasmachers, Christian Igel |
| 2006 | ESANN | Degeneracy in model selection for SVMs with radial Gaussian kernel. | Tobias Glasmachers |
| 2006 | ICANN | Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. | Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel |