Picture for Pierre Alquier

Pierre Alquier

PMA, Crest

Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds

Add code
Oct 29, 2024
Viaarxiv icon

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning

Add code
May 23, 2024
Viaarxiv icon

Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes

Add code
Feb 23, 2023
Viaarxiv icon

PAC-Bayesian Offline Contextual Bandits With Guarantees

Add code
Oct 24, 2022
Viaarxiv icon

Variance-Aware Estimation of Kernel Mean Embedding

Add code
Oct 13, 2022
Figure 1 for Variance-Aware Estimation of Kernel Mean Embedding
Figure 2 for Variance-Aware Estimation of Kernel Mean Embedding
Figure 3 for Variance-Aware Estimation of Kernel Mean Embedding
Figure 4 for Variance-Aware Estimation of Kernel Mean Embedding
Viaarxiv icon

User-friendly introduction to PAC-Bayes bounds

Add code
Nov 09, 2021
Viaarxiv icon

Deviation inequalities for stochastic approximation by averaging

Add code
Feb 17, 2021
Viaarxiv icon

Meta-strategy for Learning Tuning Parameters with Guarantees

Add code
Feb 04, 2021
Figure 1 for Meta-strategy for Learning Tuning Parameters with Guarantees
Figure 2 for Meta-strategy for Learning Tuning Parameters with Guarantees
Figure 3 for Meta-strategy for Learning Tuning Parameters with Guarantees
Viaarxiv icon

A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix

Add code
Oct 07, 2020
Figure 1 for A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Figure 2 for A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Figure 3 for A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Figure 4 for A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Viaarxiv icon

Non-exponentially weighted aggregation: regret bounds for unbounded loss functions

Add code
Sep 09, 2020
Viaarxiv icon