Léon Bottou

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 59

Top Venues

Publications

Jianyu Zhang, Léon Bottou
Fine-tuning with Very Large Dropout. CoRR (2024)
Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou
Memory Mosaics. CoRR (2024)
Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou
Birth of a Transformer: A Memory Viewpoint. NeurIPS (2023)
Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou
Birth of a Transformer: A Memory Viewpoint. CoRR (2023)
Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. ICCV (2023)
Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. CoRR (2023)
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization. ICML (2023)
Jianyu Zhang, Léon Bottou
Learning useful representations for shifting tasks and distributions. ICML (2023)
Léon Bottou, Bernhard Schölkopf
Borges and AI. CoRR (2023)
Agnieszka Slowik, Léon Bottou
On Distributionally Robust Optimization and Data Rebalancing. AISTATS (2022)
Randall Balestriero, Léon Bottou, Yann LeCun
The Effects of Regularization and Data Augmentation are Class Dependent. CoRR (2022)
Randall Balestriero, Léon Bottou, Yann LeCun
The Effects of Regularization and Data Augmentation are Class Dependent. NeurIPS (2022)
Agnieszka Slowik, Léon Bottou, Sean B. Holden, Mateja Jamnik
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract). AAAI (2022)
Jianyu Zhang, Léon Bottou
Learning useful representations for shifting tasks and distributions. CoRR (2022)
Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier
A Simple Convergence Proof of Adam and Adagrad. Trans. Mach. Learn. Res. 2022 (2022)
Aaron Defazio, Léon Bottou
A scaling calculus for the design and initialization of ReLU networks. Neural Comput. Appl. 34 (17) (2022)
Jianyu Zhang, David Lopez-Paz, Léon Bottou
Rich Feature Construction for the Optimization-Generalization Dilemma. CoRR (2022)
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
Recycling diverse models for out-of-distribution generalization. CoRR (2022)
Jianyu Zhang, David Lopez-Paz, Léon Bottou
Rich Feature Construction for the Optimization-Generalization Dilemma. ICML (2022)
Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz
Linear unit-tests for invariance discovery. CoRR (2021)
Agnieszka Slowik, Léon Bottou
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation. CoRR (2021)
Alexander Peysakhovich, Léon Bottou
An Attract-Repel Decomposition of Undirected Networks. CoRR (2021)
Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier
On the Convergence of Adam and Adagrad. CoRR (2020)
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
Symplectic Recurrent Neural Networks. ICLR (2020)
Léon Bottou
Learning Representations Using Causal Invariance. EGC (2020)
Carl-Johann Simon-Gabriel, Yann Ollivier, Léon Bottou, Bernhard Schölkopf, David Lopez-Paz
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension. ICML (2019)
Chhavi Yadav, Léon Bottou
Cold Case: The Lost MNIST Digits. NeurIPS (2019)
Aaron Defazio, Léon Bottou
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning. NeurIPS (2019)
Aaron Defazio, Léon Bottou
Scaling Laws for the Principled Design, Initialization and Preconditioning of ReLU Networks. CoRR (2019)
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
Symplectic Recurrent Neural Networks. CoRR (2019)
Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz
Invariant Risk Minimization. CoRR (2019)
Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. CoRR (2019)
Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach
Music Source Separation in the Waveform Domain. CoRR (2019)
Chhavi Yadav, Léon Bottou
Cold Case: The Lost MNIST Digits. CoRR (2019)
Rachel Ward, Xiaoxia Wu, Léon Bottou
AdaGrad stepsizes: sharp convergence over nonconvex landscapes. ICML (2019)
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 (2018)
Léon Bottou, Frank E. Curtis, Jorge Nocedal
Optimization Methods for Large-Scale Machine Learning. SIAM Rev. 60 (2) (2018)
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach
SING: Symbol-to-Instrument Neural Generator. CoRR (2018)
Rachel Ward, Xiaoxia Wu, Léon Bottou
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization. CoRR (2018)
Aaron Defazio, Léon Bottou
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning. CoRR (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)
Carl-Johann Simon-Gabriel, Yann Ollivier, Bernhard Schölkopf, Léon Bottou, David Lopez-Paz
Adversarial Vulnerability of Neural Networks Increases With Input Dimension. CoRR (2018)
Aaron Defazio, Léon Bottou
Controlling Covariate Shift using Equilibrium Normalization of Weights. CoRR (2018)
Xiaoxia Wu, Rachel Ward, Léon Bottou
WNGrad: Learn the Learning Rate in Gradient Descent. CoRR (2018)
Martín Arjovsky, Soumith Chintala, Léon Bottou
Wasserstein Generative Adversarial Networks. ICML (2017)
Martín Arjovsky, Léon Bottou
Towards Principled Methods for Training Generative Adversarial Networks. CoRR (2017)
Martín Arjovsky, Léon Bottou
Towards Principled Methods for Training Generative Adversarial Networks. ICLR (2017)
Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab
Geometrical Insights for Implicit Generative Modeling. Braverman Readings in Machine Learning (2017)
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
Discovering Causal Signals in Images. CVPR (2017)
Jean Lafond, Nicolas Vasilache, Léon Bottou
Diagonal Rescaling For Neural Networks. CoRR (2017)
Martín Arjovsky, Soumith Chintala, Léon Bottou
Wasserstein GAN. CoRR (2017)
Levent Sagun, Utku Evci, V. Ugur Güney, Yann N. Dauphin, Léon Bottou
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. CoRR (2017)
Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab
Geometrical Insights for Implicit Generative Modeling. CoRR (2017)
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
Discovering Causal Signals in Images. CoRR (2016)
Léon Bottou, Frank E. Curtis, Jorge Nocedal
Optimization Methods for Large-Scale Machine Learning. CoRR (2016)
Levent Sagun, Léon Bottou, Yann LeCun
Singularity of the Hessian in Deep Learning. CoRR (2016)
David Lopez-Paz, Léon Bottou, Bernhard Schölkopf, Vladimir Vapnik
Unifying distillation and privileged information. ICLR (Poster) (2016)
Robert Nishihara, David Lopez-Paz, Léon Bottou
No Regret Bound for Extreme Bandits. AISTATS (2016)
Léon Bottou
How big data changes statistical machine learning. IEEE BigData (2015)
Robert Nishihara, David Lopez-Paz, Léon Bottou
No Regret Bound for Extreme Bandits. CoRR (2015)
Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic
Is object localization for free? - Weakly-supervised learning with convolutional neural networks. CVPR (2015)
Alekh Agarwal, Léon Bottou
A Lower Bound for the Optimization of Finite Sums. ICML (2015)
Douwe Kiela, Léon Bottou
Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics. EMNLP (2014)
Léon Bottou
From machine learning to machine reasoning - An essay. Mach. Learn. 94 (2) (2014)
Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer
Introduction to the special issue on learning semantics. Mach. Learn. 94 (2) (2014)
Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks. CVPR (2014)
Patrice Y. Simard, David Maxwell Chickering, Aparna Lakshmiratan, Denis Xavier Charles, Léon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. CoRR (2014)
Alekh Agarwal, Léon Bottou, Miroslav Dudík, John Langford
Para-active learning. CoRR (2013)
Léon Bottou
In Hindsight: Doklady Akademii Nauk SSSR, 181(4), 1968. Empirical Inference (2013)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
A Parallel SGD method with Strong Convergence. CoRR (2013)
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
A Functional Approximation Based Distributed Learning Algorithm. CoRR (2013)
Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson
Counterfactual reasoning and learning systems: the example of computational advertising. J. Mach. Learn. Res. 14 (1) (2013)
Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson
Counterfactual Reasoning and Learning Systems CoRR (2012)
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa
Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. 12 (2011)
Gilles Gasso, Aristidis Pappaioannou, Marina Spivak, Léon Bottou
Batch and online learning algorithms for nonconvex neyman-pearson classification. ACM Trans. Intell. Syst. Technol. 2 (3) (2011)
Seyda Ertekin, Léon Bottou, C. Lee Giles
Nonconvex Online Support Vector Machines. IEEE Trans. Pattern Anal. Mach. Intell. 33 (2) (2011)
Léon Bottou
From Machine Learning to Machine Reasoning CoRR (2011)
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa
Natural Language Processing (almost) from Scratch CoRR (2011)
Léon Bottou, Olivier Bousquet
L'apprentissage statistique à grande échelle. Monde des Util. Anal. Données 42 (2010)
Léon Bottou
Large-Scale Machine Learning with Stochastic Gradient Descent. COMPSTAT (2010)
Nicolas Usunier, Antoine Bordes, Léon Bottou
Guarantees for Approximate Incremental SVMs. AISTATS (2010)
Antoine Bordes, Léon Bottou, Patrick Gallinari, Jonathan D. Chang, S. Alex Smith
Erratum: SGDQN is Less Careful than Expected. J. Mach. Learn. Res. 11 (2010)
Antoine Bordes, Léon Bottou, Patrick Gallinari
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent. J. Mach. Learn. Res. 10 (2009)
Antoine Bordes, Nicolas Usunier, Léon Bottou
Sequence Labelling SVMs Trained in One Pass. ECML/PKDD (1) (2008)
Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson
The Need for Open Source Software in Machine Learning. J. Mach. Learn. Res. 8 (2007)
Antoine Bordes, Léon Bottou, Patrick Gallinari, Jason Weston
Solving multiclass support vector machines with LaRank. ICML (2007)
Léon Bottou, Olivier Bousquet
The Tradeoffs of Large Scale Learning. NIPS (2007)
Seyda Ertekin, Jian Huang, Léon Bottou, C. Lee Giles
Learning on the border: active learning in imbalanced data classification. CIKM (2007)
Léon Bottou, Olivier Bousquet
Learning using Large Datasets. NATO ASI Mining Massive Data Sets for Security (2007)
Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik
Inference with the Universum. ICML (2006)
Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
Trading convexity for scalability. ICML (2006)
Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
Large Scale Transductive SVMs. J. Mach. Learn. Res. 7 (2006)
F. Ning, D. Delhomme, Yann LeCun, F. Piano, Léon Bottou, Paolo Emilio Barbano
Toward Automatic Phenotyping of Developing Embryos From Videos. IEEE Trans. Image Process. 14 (9) (2005)
Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou
Fast Kernel Classifiers with Online and Active Learning. J. Mach. Learn. Res. 6 (2005)
Jason Weston, Antoine Bordes, Léon Bottou
Online (and Offline) on an Even Tighter Budget. AISTATS (2005)
Antoine Bordes, Léon Bottou
The Huller: A Simple and Efficient Online SVM. ECML (2005)
Gökhan H. Bakir, Léon Bottou, Jason Weston
Breaking SVM Complexity with Cross-Training. NIPS (2004)
Yann LeCun, Fu Jie Huang, Léon Bottou
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. CVPR (2) (2004)
Hans Peter Graf, Eric Cosatto, Léon Bottou, Igor Durdanovic, Vladimir Vapnik
Parallel Support Vector Machines: The Cascade SVM. NIPS (2004)

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Publication Activity (10 Years)

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Léon Bottou