Matthieu Martin

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 22

Top Topics

Risk Minimization

Semidefinite Program

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
Sequential Counterfactual Risk Minimization. CoRR (2023)
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
Sequential Counterfactual Risk Minimization. ICML (2023)
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
Nested Bandits. ICML (2022)
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
Efficient Kernel UCB for Contextual Bandits. CoRR (2022)
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
Efficient Kernelized UCB for Contextual Bandits. AISTATS (2022)
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
Nested bandits. CoRR (2022)
Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance. CoRR (2022)
Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features. CoRR (2022)
Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova
Deep Learning for ECoG Brain-Computer Interface: End-to-End vs. Hand-Crafted Features. AI*IA (2022)
Matthieu Martin, Fabio Nobile
PDE-Constrained Optimal Control Problems with Uncertain Parameters using SAGA. SIAM/ASA J. Uncertain. Quantification 9 (3) (2021)
Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova
Decoding ECoG signal into 3D hand translation using deep learning. CoRR (2021)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Zeroth-order non-convex learning via hierarchical dual averaging. CoRR (2021)
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. KDD (2021)
Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre
Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN. Comput. Biol. Medicine 131 (2021)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. ICML (2021)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Online Non-Convex Optimization with Imperfect Feedback. NeurIPS (2020)
Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. CoRR (2020)
Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre
Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN. CoRR (2020)
Pierre Erbacher, Carole Lartizien, Matthieu Martin, Pedro Foletto-Pimenta, Philippe Quetin, Philippe Delachartre
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography. MIDL (2020)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Online non-convex optimization with imperfect feedback. CoRR (2020)
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
Individual Treatment Effect Estimation in a Low Compliance Setting. CoRR (2020)
Blaise Kevin Guepie, Matthieu Martin, Victor Lacrosaz, Marilys Almar, Benoit Guibert, Philippe Delachartre
Sequential Emboli Detection From Ultrasound Outpatient Data. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Elie Bursztein, Matthieu Martin, John C. Mitchell
Text-based CAPTCHA strengths and weaknesses. CCS (2011)