- Aaron Defazio, Léon Bottou:
Scaling Laws for the Principled Design, Initialization and Preconditioning of ReLU Networks. CoRR abs/1906.04267 (2019) - Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz:
Invariant Risk Minimization. CoRR abs/1907.02893 (2019) - Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach:
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. CoRR abs/1909.01174 (2019) - Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou:
Symplectic Recurrent Neural Networks. CoRR abs/1909.13334 (2019) - Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach:
Music Source Separation in the Waveform Domain. CoRR abs/1911.13254 (2019) - 2018
- Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, Sundararajan Sellamanickam, Léon Bottou:
An efficient distributed learning algorithm based on effective local functional approximations. J. Mach. Learn. Res. 19: 74:1-74:37 (2018) - Léon Bottou, Frank E. Curtis, Jorge Nocedal:
Optimization Methods for Large-Scale Machine Learning. SIAM Rev. 60(2): 223-311 (2018) - Levent Sagun, Utku Evci, V. Ugur Güney, Yann N. Dauphin, Léon Bottou:
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. ICLR (Workshop) 2018 - Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach:
SING: Symbol-to-Instrument Neural Generator. NeurIPS 2018: 9055-9065 - Carl-Johann Simon-Gabriel, Yann Ollivier, Bernhard Schölkopf, Léon Bottou, David Lopez-Paz:
Adversarial Vulnerability of Neural Networks Increases With Input Dimension. CoRR abs/1802.01421 (2018) - Xiaoxia Wu, Rachel A. Ward, Léon Bottou:
WNGrad: Learn the Learning Rate in Gradient Descent. CoRR abs/1803.02865 (2018) - Rachel A. Ward, Xiaoxia Wu, Léon Bottou:
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization. CoRR abs/1806.01811 (2018) - Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach:
SING: Symbol-to-Instrument Neural Generator. CoRR abs/1810.09785 (2018) - Aaron Defazio, Léon Bottou:
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning. CoRR abs/1812.04529 (2018) - Aaron Defazio, Léon Bottou:
Controlling Covariate Shift using Equilibrium Normalization of Weights. CoRR abs/1812.04549 (2018) - 2017
- Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab:
Geometrical Insights for Implicit Generative Modeling. Braverman Readings in Machine Learning 2017: 229-268 - David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou:
Discovering Causal Signals in Images. CVPR 2017: 58-66 - Martín Arjovsky, Léon Bottou:
Towards Principled Methods for Training Generative Adversarial Networks. ICLR 2017 - Martín Arjovsky, Soumith Chintala, Léon Bottou:
Wasserstein Generative Adversarial Networks. ICML 2017: 214-223 - Martín Arjovsky, Léon Bottou:
Towards Principled Methods for Training Generative Adversarial Networks. CoRR abs/1701.04862 (2017) - Martín Arjovsky, Soumith Chintala, Léon Bottou:
Wasserstein GAN. CoRR abs/1701.07875 (2017) - Jean Lafond, Nicolas Vasilache, Léon Bottou:
Diagonal Rescaling For Neural Networks. CoRR abs/1705.09319 (2017) - Levent Sagun, Utku Evci, V. Ugur Güney, Yann N. Dauphin, Léon Bottou:
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. CoRR abs/1706.04454 (2017) - Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab:
Geometrical Insights for Implicit Generative Modeling. CoRR abs/1712.07822 (2017) - 2016
- Robert Nishihara, David Lopez-Paz, Léon Bottou:
No Regret Bound for Extreme Bandits. AISTATS 2016: 259-267 - David Lopez-Paz, Léon Bottou, Bernhard Schölkopf, Vladimir Vapnik:
Unifying distillation and privileged information. ICLR (Poster) 2016 - Léon Bottou, Frank E. Curtis, Jorge Nocedal:
Optimization Methods for Large-Scale Machine Learning. CoRR abs/1606.04838 (2016) - David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou:
Discovering Causal Signals in Images. CoRR abs/1605.08179 (2016) - Levent Sagun, Léon Bottou, Yann LeCun:
Singularity of the Hessian in Deep Learning. CoRR abs/1611.07476 (2016) - 2015
- Léon Bottou:
How big data changes statistical machine learning. IEEE BigData 2015: 1