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Ilya Loshchilov
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2020 – today
- 2024
- [i18]Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg:
nGPT: Normalized Transformer with Representation Learning on the Hypersphere. CoRR abs/2410.01131 (2024) - 2023
- [i17]Ilya Loshchilov:
Weight Norm Control. CoRR abs/2311.11446 (2023)
2010 – 2019
- 2019
- [j2]Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer:
Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation. IEEE Trans. Evol. Comput. 23(2): 353-358 (2019) - [c23]Ilya Loshchilov, Frank Hutter:
Decoupled Weight Decay Regularization. ICLR (Poster) 2019 - 2018
- [c22]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: 31-32 - [c21]Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter:
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. IJCAI 2018: 1419-1426 - [i16]Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter:
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. CoRR abs/1802.08842 (2018) - 2017
- [j1]Ilya Loshchilov:
LM-CMA: An Alternative to L-BFGS for Large-Scale Black Box Optimization. Evol. Comput. 25(1): 143-171 (2017) - [c20]Ilya Loshchilov, Frank Hutter:
SGDR: Stochastic Gradient Descent with Warm Restarts. ICLR (Poster) 2017 - [i15]Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer:
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization. CoRR abs/1705.06693 (2017) - [i14]Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter:
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets. CoRR abs/1707.08819 (2017) - [i13]Ilya Loshchilov, Frank Hutter:
Fixing Weight Decay Regularization in Adam. CoRR abs/1711.05101 (2017) - 2016
- [c19]Ilya Loshchilov, Tobias Glasmachers:
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). GECCO (Companion) 2016: 1169-1176 - [i12]Ilya Loshchilov, Frank Hutter:
CMA-ES for Hyperparameter Optimization of Deep Neural Networks. CoRR abs/1604.07269 (2016) - [i11]Ilya Loshchilov, Tobias Glasmachers:
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). CoRR abs/1605.02720 (2016) - [i10]Ilya Loshchilov, Frank Hutter:
SGDR: Stochastic Gradient Descent with Restarts. CoRR abs/1608.03983 (2016) - 2015
- [i9]Ilya Loshchilov:
LM-CMA: an Alternative to L-BFGS for Large Scale Black-box Optimization. CoRR abs/1511.00221 (2015) - [i8]Ilya Loshchilov, Frank Hutter:
Online Batch Selection for Faster Training of Neural Networks. CoRR abs/1511.06343 (2015) - 2014
- [c18]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: 136-137 - [c17]Ilya Loshchilov:
A computationally efficient limited memory CMA-ES for large scale optimization. GECCO 2014: 397-404 - [c16]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen:
Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. PPSN 2014: 70-79 - [i7]Ilya Loshchilov:
A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization. CoRR abs/1404.5520 (2014) - [i6]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen:
Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES. CoRR abs/1406.2623 (2014) - 2013
- [b1]Ilya Loshchilov:
Surrogate-Assisted Evolutionary Algorithms. INRIA, Paris-Rocquencourt, France, 2013 - [c15]Shigeru Takano, Ilya Loshchilov, David Meunier, Michèle Sebag, Einoshin Suzuki:
Fast Adaptive Object Detection towards a Smart Environment by a Mobile Robot. AmI 2013: 182-197 - [c14]Ilya Loshchilov:
CMA-ES with restarts for solving CEC 2013 benchmark problems. IEEE Congress on Evolutionary Computation 2013: 369-376 - [c13]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es). GECCO 2013: 439-446 - [c12]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Bi-population CMA-ES agorithms with surrogate models and line searches. GECCO (Companion) 2013: 1177-1184 - [i5]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization. CoRR abs/1308.2655 (2013) - 2012
- [c11]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: 175-182 - [c10]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed. GECCO (Companion) 2012: 261-268 - [c9]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: 269-276 - [c8]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy. GECCO 2012: 321-328 - [c7]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Alternative Restart Strategies for CMA-ES. PPSN (1) 2012: 296-305 - [i4]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy. CoRR abs/1204.2356 (2012) - [i3]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed. CoRR abs/1206.0974 (2012) - [i2]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 abs/1206.5780 (2012) - [i1]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Alternative Restart Strategies for CMA-ES. CoRR abs/1207.0206 (2012) - 2011
- [c6]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Not All Parents Are Equal for MO-CMA-ES. EMO 2011: 31-45 - [c5]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Adaptive coordinate descent. GECCO 2011: 885-892 - 2010
- [c4]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
A mono surrogate for multiobjective optimization. GECCO 2010: 471-478 - [c3]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
A pareto-compliant surrogate approach for multiobjective optimization. GECCO (Companion) 2010: 1979-1982 - [c2]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Comparison-Based Optimizers Need Comparison-Based Surrogates. PPSN (1) 2010: 364-373 - [c1]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization. SEAL 2010: 230-239
Coauthor Index
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