| CMA-ES with restarts for solving CEC 2013 benchmark problems I Loshchilov Evolutionary Computation (CEC), 2013 IEEE Congress on, 369-376, 2013 | 67 | 2013 |
| SGDR: stochastic gradient descent with restarts I Loshchilov, F Hutter International Conference on Learning Representations (ICLR 2017), 2016 | 63* | 2016 |
| A mono surrogate for multiobjective optimization I Loshchilov, M Schoenauer, M Sebag Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 47 | 2010 |
| Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy I Loshchilov, M Schoenauer, M Sebag Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 44 | 2012 |
| Comparison-based optimizers need comparison-based surrogates I Loshchilov, M Schoenauer, M Sebag Parallel Problem Solving from Nature–PPSN XI, 364-373, 2011 | 40 | 2011 |
| Online batch selection for faster training of neural networks I Loshchilov, F Hutter International Conference on Learning Representations (ICLR 2016). Workshop …, 2015 | 35 | 2015 |
| Intensive Surrogate Model Exploitation in Self-adaptive Surrogate-assisted CMA-ES (saACM-ES) I Loshchilov, M Schoenauer, M Sebag Proceeding of the fifteenth annual conference on Genetic and evolutionary …, 2013 | 29 | 2013 |
| BI-population CMA-ES Algorithms with Surrogate Models and Line Searches I Loshchilov, M Schoenauer, M Sebag BBOB workshop of Genetic and Evolutionary Computation Conference (GECCO 2013), 2013 | 29 | 2013 |
| Adaptive coordinate descent I Loshchilov, M Schoenauer, M Sebag Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 27 | 2011 |
| CMA-ES for Hyperparameter Optimization of Deep Neural Networks I Loshchilov, F Hutter International Conference on Learning Representations (ICLR 2016). Workshop …, 2016 | 26 | 2016 |
| RoboGen: Robot Generation through Artificial Evolution JE Auerbach, D Aydin, A Maesani, PM Kornatowski, T Cieslewski, G Heitz, ... ALIFE 14: The Fourteenth Conference on the Synthesis and Simulation of …, 2014 | 25 | 2014 |
| Dominance-based pareto-surrogate for multi-objective optimization I Loshchilov, M Schoenauer, M Sebag Simulated Evolution and Learning, 230-239, 2010 | 25 | 2010 |
| Alternative restart strategies for CMA-ES I Loshchilov, M Schoenauer, M Sebag International Conference on Parallel Problem Solving from Nature, 296-305, 2012 | 23 | 2012 |
| A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization I Loshchilov Proceeding of the sixteenth annual conference on Genetic and Evolutionary …, 2014 | 22 | 2014 |
| Not all parents are equal for MO-CMA-ES I Loshchilov, M Schoenauer, M Sebag International Conference on Evolutionary Multi-Criterion Optimization, 31-45, 2011 | 19 | 2011 |
| Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed I Loshchilov, M Schoenauer, M Sebag BBOB workshop of Proceedings of the fourteenth international conference on …, 2012 | 15* | 2012 |
| Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES I Loshchilov, M Schoenauer, M Sebag, N Hansen Parallel Problem Solving from Nature – PPSN XIII 13, 70-79, 2014 | 14 | 2014 |
| Surrogate-Assisted Evolutionary Algorithms I Loshchilov PhD Thesis. Université Paris Sud-Paris XI, 2013 | 14 | 2013 |
| LM-CMA: an Alternative to L-BFGS for Large Scale Black-box Optimization I Loshchilov Evolutionary computation, MIT Press, 2015 | 12 | 2015 |
| A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P Chrabaszcz, I Loshchilov, F Hutter arXiv preprint arXiv:1707.08819, 2017 | 10 | 2017 |
Marc SchoenauerSenior Researcher, INRIAVerified email at inria.fr