Ilya Loshchilov
Ilya Loshchilov
Research Group on Learning, Optimization, and Automated Algorithm Design | University of Freiburg
Verified email at inria.fr - Homepage
TitleCited byYear
CMA-ES with restarts for solving CEC 2013 benchmark problems
I Loshchilov
Evolutionary Computation (CEC), 2013 IEEE Congress on, 369-376, 2013
672013
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
472010
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
442012
Comparison-based optimizers need comparison-based surrogates
I Loshchilov, M Schoenauer, M Sebag
Parallel Problem Solving from Nature–PPSN XI, 364-373, 2011
402011
Online batch selection for faster training of neural networks
I Loshchilov, F Hutter
International Conference on Learning Representations (ICLR 2016). Workshop …, 2015
352015
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
292013
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
292013
Adaptive coordinate descent
I Loshchilov, M Schoenauer, M Sebag
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
272011
CMA-ES for Hyperparameter Optimization of Deep Neural Networks
I Loshchilov, F Hutter
International Conference on Learning Representations (ICLR 2016). Workshop …, 2016
262016
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
252014
Dominance-based pareto-surrogate for multi-objective optimization
I Loshchilov, M Schoenauer, M Sebag
Simulated Evolution and Learning, 230-239, 2010
252010
Alternative restart strategies for CMA-ES
I Loshchilov, M Schoenauer, M Sebag
International Conference on Parallel Problem Solving from Nature, 296-305, 2012
232012
A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization
I Loshchilov
Proceeding of the sixteenth annual conference on Genetic and Evolutionary …, 2014
222014
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
192011
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
142014
Surrogate-Assisted Evolutionary Algorithms
I Loshchilov
PhD Thesis. Université Paris Sud-Paris XI, 2013
142013
LM-CMA: an Alternative to L-BFGS for Large Scale Black-box Optimization
I Loshchilov
Evolutionary computation, MIT Press, 2015
122015
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P Chrabaszcz, I Loshchilov, F Hutter
arXiv preprint arXiv:1707.08819, 2017
102017
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