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Matthieu Claude Martin
Matthieu Claude Martin
Criteo
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Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters
M Martin, S Krumscheid, F Nobile
ESAIM: Mathematical Modelling and Numerical Analysis 55 (ARTICLE), 1599-1633, 2021
40*2021
Online non-convex optimization with imperfect feedback
A Héliou, M Martin, P Mertikopoulos, T Rahier
Advances in Neural Information Processing Systems 33, 2020
182020
A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters
M Martin, F Nobile, P Tsilifis
arXiv preprint arXiv:1912.11900, 2019
172019
Efficient Kernelized UCB for Contextual Bandits
H Zenati, A Bietti, E Diemert, J Mairal, M Martin, P Gaillard
International Conference on Artificial Intelligence and Statistics, 5689-5720, 2022
122022
PDE-constrained optimal control problems with uncertain parameters using SAGA
M Martin, F Nobile
SIAM/ASA Journal on Uncertainty Quantification 9 (3), 979-1012, 2021
122021
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
A Héliou, M Martin, P Mertikopoulos, T Rahier
International Conference on Machine Learning, 4192-4202, 2021
112021
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting
T Rahier, A Héliou, M Martin, C Renaudin, E Diemert
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
5*2021
Counterfactual learning of continuous stochastic policies
H Zenati, A Bietti, M Martin, E Diemert, J Mairal
arXiv preprint arXiv:2004.11722, 2020
32020
Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline Evaluation
H Zenati, A Bietti, M Martin, E Diemert, P Gaillard, J Mairal
arXiv preprint arXiv:2004.11722, 2020
32020
Stochastic approximation methods for PDE constrained optimal control problems with uncertain parameters
MC Martin, F Nobile
EPFL, 2019
32019
Sequential counterfactual risk minimization
H Zenati, E Diemert, M Martin, J Mairal, P Gaillard
International Conference on Machine Learning, 40681-40706, 2023
22023
Nested bandits
M Martin, P Mertikopoulos, T Rahier, H Zenati
International Conference on Machine Learning, 15093-15121, 2022
22022
About evaluation metrics for contextual uplift modeling
C Renaudin, M Martin
arXiv preprint arXiv:2107.00537, 2021
22021
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions.
H Zenati, A Bietti, M Martin, E Diemert, J Mairal
CoRR, 2020
12020
Efficient Kernel UCB for Contextual Bandits
H Zenati, A Bietti, E Diemert, J Mairal, M Martin, P Gaillard
arXiv preprint arXiv:2202.05638, 2022
2022
MATHICSE Technical Report: A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters
MC Martin, F Nobile, P Tsilifis
MATHICSE, 2020
2020
PDE-constrained optimal control problems with uncertain parameters using SAGA
M Martin, F Nobile
arXiv preprint arXiv:1810.13378, 2018
2018
MATHICSE Technical Report: Analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters
M Martin, S Krumscheid, F Nobile
MATHICSE, 2018
2018
Overview of robust optimal control problems for random PDEs using different risk
F Nobile, M Martin
2016
CSQI
F Bonizzoni, R Bordelais, SS Ganesh, C Garcia Pareja, DM Goutaudier, ...
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Artikelen 1–20