Search Results for author: Matthieu Martin

Found 12 papers, 3 papers with code

Sequential Counterfactual Risk Minimization

1 code implementation23 Feb 2023 Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard

Counterfactual Risk Minimization (CRM) is a framework for dealing with the logged bandit feedback problem, where the goal is to improve a logging policy using offline data.

counterfactual

Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features

no code implementations5 Oct 2022 Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova

The performance gap is reduced with bigger datasets, but considering the increased computational load, end-to-end training may not be profitable for this application.

Brain Computer Interface

Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance

no code implementations8 Sep 2022 Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova

In this study, we investigated the impact of long-term recordings on motor imagery decoding from two main perspectives: model requirements regarding dataset size and potential for patient adaptation.

Nested bandits

no code implementations19 Jun 2022 Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati

In many online decision processes, the optimizing agent is called to choose between large numbers of alternatives with many inherent similarities; in turn, these similarities imply closely correlated losses that may confound standard discrete choice models and bandit algorithms.

Discrete Choice Models

Efficient Kernel UCB for Contextual Bandits

1 code implementation11 Feb 2022 Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard

While standard methods require a O(CT^3) complexity where T is the horizon and the constant C is related to optimizing the UCB rule, we propose an efficient contextual algorithm for large-scale problems.

Computational Efficiency Multi-Armed Bandits

Decoding ECoG signal into 3D hand translation using deep learning

no code implementations5 Oct 2021 Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova

These models have a limited representational capacity and may fail to capture the relationship between ECoG signal and continuous hand movements.

Translation

Zeroth-order non-convex learning via hierarchical dual averaging

no code implementations13 Sep 2021 Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier

We propose a hierarchical version of dual averaging for zeroth-order online non-convex optimization - i. e., learning processes where, at each stage, the optimizer is facing an unknown non-convex loss function and only receives the incurred loss as feedback.

Viscocapillary Instability in Cellular Spheroids

no code implementations24 Feb 2021 Matthieu Martin, Thomas Risler

We describe a viscocapillary instability that can perturb the spherical symmetry of cellular aggregates in culture, also called multicellular spheroids.

Biological Physics Soft Condensed Matter Medical Physics Tissues and Organs

Individual Treatment Prescription Effect Estimation in a Low Compliance Setting

no code implementations7 Aug 2020 Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert

Individual Treatment Effect (ITE) estimation is an extensively researched problem, with applications in various domains.

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