Ilya Loshchilov

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 17

Top Venues

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

Ilya Loshchilov
Weight Norm Control. CoRR (2023)
Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer
Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation. IEEE Trans. Evol. Comput. 23 (2) (2019)
Ilya Loshchilov, Frank Hutter
Decoupled Weight Decay Regularization. ICLR (Poster) (2019)
Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. IJCAI (2018)
Dennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo López Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Özcan, Sergio Iwan Valdez Pea, Brian Goldman, Salvador Botello Rionda, Arturo Hernández Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc
Summary of evolutionary computation for wind farm layout optimization. GECCO (Companion) (2018)
Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. CoRR (2018)
Ilya Loshchilov, Frank Hutter
Fixing Weight Decay Regularization in Adam. CoRR (2017)
Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization. CoRR (2017)
Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets. CoRR (2017)
Ilya Loshchilov, Frank Hutter
SGDR: Stochastic Gradient Descent with Warm Restarts. ICLR (Poster) (2017)
Ilya Loshchilov
LM-CMA: An Alternative to L-BFGS for Large-Scale Black Box Optimization. Evol. Comput. 25 (1) (2017)
Ilya Loshchilov, Tobias Glasmachers
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). CoRR (2016)
Ilya Loshchilov, Tobias Glasmachers
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). GECCO (Companion) (2016)
Ilya Loshchilov, Frank Hutter
CMA-ES for Hyperparameter Optimization of Deep Neural Networks. CoRR (2016)
Ilya Loshchilov, Frank Hutter
SGDR: Stochastic Gradient Descent with Restarts. CoRR (2016)
Ilya Loshchilov
LM-CMA: an Alternative to L-BFGS for Large Scale Black-box Optimization. CoRR (2015)
Ilya Loshchilov, Frank Hutter
Online Batch Selection for Faster Training of Neural Networks. CoRR (2015)
Ilya Loshchilov
A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization. CoRR (2014)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. PPSN (2014)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES. CoRR (2014)
Ilya Loshchilov
A computationally efficient limited memory CMA-ES for large scale optimization. GECCO (2014)
Joshua Evan Auerbach, Deniz Aydin, Andrea Maesani, Przemyslaw Kornatowski, Titus Cieslewski, Gregoire Heitz, Pradeep Fernando, Ilya Loshchilov, Ludovic Daler, Dario Floreano
RoboGen: Robot Generation through Artificial Evolution. ALIFE (2014)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Bi-population CMA-ES agorithms with surrogate models and line searches. GECCO (Companion) (2013)
Shigeru Takano, Ilya Loshchilov, David Meunier, Michèle Sebag, Einoshin Suzuki
Fast Adaptive Object Detection towards a Smart Environment by a Mobile Robot. AmI (2013)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es). GECCO (2013)
Ilya Loshchilov
CMA-ES with restarts for solving CEC 2013 benchmark problems. IEEE Congress on Evolutionary Computation (2013)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization. CoRR (2013)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy CoRR (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed. GECCO (Companion) (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Alternative Restart Strategies for CMA-ES. PPSN (1) (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed CoRR (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed CoRR (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed. GECCO (Companion) (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed. GECCO (Companion) (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Alternative Restart Strategies for CMA-ES CoRR (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy. GECCO (2012)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Not All Parents Are Equal for MO-CMA-ES. EMO (2011)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Adaptive coordinate descent. GECCO (2011)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization. SEAL (2010)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
A pareto-compliant surrogate approach for multiobjective optimization. GECCO (Companion) (2010)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Comparison-Based Optimizers Need Comparison-Based Surrogates. PPSN (1) (2010)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
A mono surrogate for multiobjective optimization. GECCO (2010)

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Publication Activity (10 Years)

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Ilya Loshchilov