Alberto Bietti

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Deep Equals Shallow for ReLU Networks in Kernel Regimes pdf

Francis Bach, Alberto Bietti, F. Bach, 2020, ICLR.

Online learning for audio clustering and segmentation

Alberto Bietti, A. Bietti, 2014 .

Group Invariance and Stability to Deformations of Deep Convolutional Representations pdf

Julien Mairal, Alberto Bietti, J. Mairal, 2017, ArXiv.

Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions pdf

Julien Mairal, Eustache Diemert, Matthieu Martin, 2020, ArXiv.

Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations

Julien Mairal, Alberto Bietti, J. Mairal, 2017, J. Mach. Learn. Res..

Convergence and Stability of Graph Convolutional Networks on Large Random Graphs pdf

Nicolas Keriven, Samuel Vaiter, Alberto Bietti, 2020, NeurIPS.

A Contextual Bandit Bake-off

John Langford, Alekh Agarwal, Alberto Bietti, 2018, J. Mach. Learn. Res..

On Regularization and Robustness of Deep Neural Networks pdf

Julien Mairal, Alberto Bietti, Grégoire Mialon, 2018, ArXiv.

On the Inductive Bias of Neural Tangent Kernels

Julien Mairal, Alberto Bietti, J. Mairal, 2019, NeurIPS.

Practical Evaluation and Optimization of Contextual Bandit Algorithms pdf

John Langford, Alekh Agarwal, Alberto Bietti, 2018, ArXiv.

A Kernel Perspective for Regularizing Deep Neural Networks

Julien Mairal, Dexiong Chen, Alberto Bietti, 2018, ICML.

Counterfactual Learning of Continuous Stochastic Policies

Julien Mairal, Eustache Diemert, Matthieu Martin, 2020 .

An online em algorithm in hidden (semi-)Markov models for audio segmentation and clustering

Francis R. Bach, Arshia Cont, Alberto Bietti, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Invariance and Stability of Deep Convolutional Representations

Julien Mairal, Alberto Bietti, J. Mairal, 2017, NIPS.

Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure

Julien Mairal, Alberto Bietti, J. Mairal, 2016, NIPS.

Foundations of deep convolutional models through kernel methods. (Méthodes à noyaux pour les réseaux convolutionnels profonds)

Alberto Bietti, A. Bietti, 2019 .

On the Universality of Graph Neural Networks on Large Random Graphs pdf

Nicolas Keriven, Samuel Vaiter, Alberto Bietti, 2021, NeurIPS.

On Energy-Based Models with Overparametrized Shallow Neural Networks

Eric Vanden-Eijnden, Joan Bruna, Carles Domingo-Enrich, 2021, ICML.

On Approximation in Deep Convolutional Networks: a Kernel Perspective pdf

Alberto Bietti, A. Bietti, 2021, ArXiv.

On the Sample Complexity of Learning under Invariance and Geometric Stability

Joan Bruna, Alberto Bietti, Luca Venturi, 2021, 2106.07148.

Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks pdf

Joan Bruna, Eric Vanden-Eijnden, Carles Domingo-Enrich, 2021, ArXiv.

On the Sample Complexity of Learning with Geometric Stability pdf

Joan Bruna, Alberto Bietti, Luca Venturi, 2021, ArXiv.

Approximation and Learning with Deep Convolutional Models: a Kernel Perspective

Alberto Bietti, 2021 .