ABCDEFGHIJKLMNOPQRSTUVWXYZAAABACADAEAFAGAHAIAJAK
1
Binôme 1Horaire de passage VISIO binôme 1Jury 1 ou 2Contraintes binôme 1Binôme 2Horaire de passage VISIO binôme 2Jury 1 ou 2Contraintes binôme 2
2
JourHeureJourHeure
3
Convergence of Markovian Stochastic Approximation with
discontinuous dynamics . A. Schreck, G. Fort, E. Moulines
and M. Vihola. (2016).
El Mehdi Nezahi & Rida AssalouhJan 7th15:30Jury 2Jan 7th
4
On perturbated proximal gradient algorithm.
Y. Atchadé, G. Fort and E. Moulines (2016)
Jan 7thJan 7th
5
Tsitsiklis, John N. “Asynchronous Stochastic Approximation
and Q-Learning.” Mach/ine Learning16, no. 3
(September 1, 1994): 185–202.
https://doi.org/10.1007/BF00993306.
Younes Boukacem, Tristan MartinJan 7th9:15Jury 2Romain Planchon & Martin De BatsJan 7th9:30Jury 2
6
Riemannian manifold Langevin and
Hamiltonian Monte Carlo methods.
M. Girolami,d. (2011). 
Partie Riemanian Hamiltonian Monte Carlo !
MORESCALCHI Alessandro et Boyer MatthieuJan 7th9:00Jury 1Alexandre Ducorroy & Damien RouchouseJan 7th9:15Jury 1
7
Riemannian manifold Langevin and
Hamiltonian Monte Carlo methods.
M. Girolami,Calderhead. (2011).
Partie Langevin
Samuel Marthely et Mountaga WaneJan 7th9:30Jury 1Jan 7th--
8
Optimization by gradient boosting, G. BIAU and B. CADRE, 
https://hal.archives-ouvertes.fr/hal-01562618
Pako TEKOU & Paul RongierasJan 7th9:45Jury 2Octave Leroy & Matéo Roinard--ChauvetJan 7th10:00Jury 2
9
G. Fort, L. Risser, Y. Atchadé and E. Moulines. Stochastic FISTA algorithms: so fast ? . Workshop in Statistical Signal Processing (SSP), June 2018.Alexandre Devaux--Rivière et Octave JeanneJan 7th9:45Jury 1Jan 7th
10
Reliable ABC model choice via random forests,
Pudlo, Marin, Cornuet, Estoup, Gautier and Robert (2016)
Yannaël Bossard Amaury de VitryJan 7th10:15Jury 2Homère Tandeau de Marsac & Léo Sarda EsteveJan 7th10:30Jury 2
11
ADAPTIVE PARALLEL TEMPERING ALGORITHM. Blazej Miasojedow, Eric Moulines, Matti ViholaaJan 7th
12
Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model. A Samson, M Lavielle, F Mentré
Computational Statistics & Data Analysis 51 (3), 1562-1574
Bastien Albizzati, Shubha Sanket SamantarayJan 7th10:00Jury 1Louis Tadayoni & Nawel TorchioJan 7th10:15Jury 1
13
An adaptive version for the Metropolis adjusted Langevin
algorithm with a truncated drift -
http://dept.stat.lsa.umich.edu/~yvesa/atmala.pdf
Elsa Doukhan - Martin Beaufils Jan 7th10:30Jury 1Gabriel Mariadass + Arthur GillesJan 7th10:45Jury 1
14
On the convergence of Stochastic Approximations under a subgeometric ergodic Markov dynamic V Debavelaere, S Durrleman, S Allassonnière. hJan 7th
15
Robust Adaptive Importance Sampling for Normal Random Vectors. Benjamin Jourdain, Jérôme Lelongmohammed taha belgnaouiJan 7th10:45Jury 2Imane Haddouchi + mohammed taha belgnaouiJan 7th11:00Jury 2
16
Estimation of demo-genetic model probabilities with
Approximate Bayesian Computation using linear discriminant
analysis on summary statistics,
Estoup, Lombaert, Marin, Guillemaud, Pudlo, Robert
and Cornuet (2012) 
https://link.springer.com/content/pdf/10.1007%2Fs00122-017-2922-4.pdf
Jan 7thJan 7th
17
Online EM Algorithm for Hidden Markov Models Olivier CappéLucas Lévy, Marlone LequeuxJan 7th11:00Jury 1Pas dispo mercredi après-midi (autre soutenance)Jan 7th
18
Mixtures of stochastic differential equations with
random effects: Application to data clustering.
Jan 7thtom pitois / antoine le maguetJan 7th11:15Jury 1
19
G. Fort, B. Jourdain, E. Kuhn, T. Lelièvre and G. Stoltz. Convergence of the Wang-Landau algorithm. Math. Comp., 84:2297-2327, 2015. arXiv:1207.6880Jan 7thPas dispo mercredi après-midi (autre soutenance)Jan 7th
20
Variance reduction for Markov chains with application to MCMC
D Belomestny, L Iosipoi, E Moulines, A Naumov, S Samsonov
Statistics and Computing, 1-25
Nicola Chiecchio Clarence LeconteJan 7th11:15Jury 2Ruben Cardoso, Jean WallardJan 7th11:30Jury 2
21
Fast Incremental Expectation Maximization for non-convex finite-sum optimization: non asymptotic convergence bounds. Fast Incremental Expectation Maximization for non-convex finite-sum optimization: non asymptotic convergence bounds
G Fort, P Gach, E Moulines
Jan 7thJan 7th
22
Geometric ergodicity of the bouncy particle sampler
A Durmus, A Guillin, P Monmarché
Annals of Applied Probability 30 (5), 2069-2098
Jan 7thJan 7th
23
Bringing ABC inference to the machine learning realm: AbcRanger, an optimized random forests library for ABC
FD Collin, A Estoup, JM Marin, L Raynal
JOBIM 2020 2020
Mohamed CHAGHROUN Maryam El YaagoubiJan 7th11:45Jury 2Marcos Tirador - El abdouni HamzaJan 7th13:30Jury 2
24
Leveraging the Exact Likelihood of Deep Latent Variable Models. Pierre-Alexandre Mattei, Jes Frellsen. Gloire LINVANI/ Mobendza DORVALJan 7th13:45Jury 2Titouan Pottier/ Maxime MuhlethalerJan 7th14:00Jury 2Pas disponible Jan 7th après midi
25
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

C. Chadebec, E. Thibeau-Sutre, N. Burgos, and S. Allassonnière. IEEE Pattern Analysis and Machine Intelligence

Clément GILLI - Céline LIUJan 7th11:30Jury 1Samuel Lhayani - Louis HayotJan 7th11:45Jury 1
26
Georgios Arvanitidis, Lars Kai Hansen, and Søren Hauberg. Latent space oddity: on the
curvature of deep generative models. arXiv preprint arXiv:1710.11379, 2017
Hana Feki -Mayeul LAMBERTJan 7th13:30Jury 1Karina Musina - Victor GalmicheJan 7th13:45Jury 1
27
Deterministic Approximate EM algorithm; Application to the Riemann approximation EM and the tempered EM. Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière. Submitted. (2020)Jan 7thJan 7th
28
hyperspherical variational autoencodeurValentin Badea, yentl collinMouhssine & Raphaël (Jan 7th)Badea-Collin 2:00:00 PMJury 1Mouhssine & Raphaël 16:00Jeanne Mirone - Eya DaoudJan 7th14:15Jury 1
29
Irreversible local Markov chains with rapid convergence
towards equilibrium Sebastian C. Kapfer and Werner Krauth
Kenani Aicha - Tanguy Lourme
Jan 7th14:15Jury 2Jan 7th
30
Uncovering the structure of clinical EEG signals with self-supervised learning (Banville et al., 2021)Hugo NARANJO LEON - Álvaro RUIZ LÓPEZJan 7th14:30Jury 2Gary KLAJER - Yasmine DAOUIA Jan 7th14:45Jury 2
31
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform (https://papers.nips.cc/paper/2021/file/8dd291cbea8f231982db0fb1716dfc55-Paper.pdf)Gaspard BEAUDOUIN - Tristan RIOUJan 7th16:30Jury 1Jan 7th
32
On Estimation in Latent Variable Models (https://proceedings.mlr.press/v139/fang21a.html)Deodato BASTOS
Mathilde MORHAIN
Jan 7th14:30Jury 1Noé Claudel - Félix LebelJan 7th14:45Jury 1
33
Variational inference via Wasserstein
gradient flows : https://arxiv.org/pdf/2205.15902.pdf
Royer Jules - Tristan MontalbettiJan 7th15:00Jury 2Jan 7Jules Désir - Janis AIADJan 7th15:15Jury 2
34
IMPORTANCE WEIGHTED AUTOENCODERS https://arxiv.org/pdf/1509.00519.pdf
Aymane Hamdaoui, Simon Elis
Jan 7th15:00Jury 1Wardakhan Kévin, Claustre ArsèneJan 7th15:15Jury 1Pas disponible le 7 janvier
35
On the properties of variational
approximations of Gibbs posteriors https://arxiv.org/pdf/1506.04091
Grégoire Josse - Ilyas MhichJan 7th9:00Jury 2Matin seulementYassine Laraki - Amine ChraibiJan 7th15:45Jury 2
36
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal TransportEwerthon Melzani , Sammy OukaciJan 7th16:00Jury 2Jan 7th
37
Hamiltonian Variational Auto-Encoder : https://arxiv.org/pdf/1805.11328Abel Verley, Rémi BaronJan 7th15:30Jury 1Oussama Zouhry - Keshav DasJan 7th15:45Jury 1
38
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching (ICML 2025)
https://arxiv.org/abs/2504.11713
Abderrahim Bendahi, Adrien FradinJan 7th16:30Jury 1Jan 7th
39
On Sampling with Approximate Transport Maps (L.Grenioux, A.Durmus, E.Moulines, M.Gabrié, 2023) https://arxiv.org/pdf/2302.04763Baran CELIK - Swann CORDIERJan 7th16:15Jury 1nous avons une autre soutenance le 07/01 à 17hJan 7th
40
XGBoost: A Scalable Tree Boosting System (Tianqi Chen, Carlos Guestrin)Wandrille Flamant, Titouan Le BretonJan 7th16:15Jury 2Jan 7th
41
42
43
44
45
46
47
Récapitilatif
48
49
Jury 1HeureJury 2Heure
50
https://u-paris.zoom.us/j/81760769679?pwd=g4vao9lGycLbKsqmRbK5ZZ7CI8f0ec.1ID de réunion: 817 6076 9679
Code secret: 769390
https://teams.microsoft.com/meet/31067763429161?p=YafDxiLpRZhzYQrXCG
51
MORESCALCHI Alessandro et Boyer Matthieu9:00Grégoire Josse - Ilyas Mhich9:00
52
Alexandre Ducorroy & Damien Rouchouse9:15Younes Boukacem, Tristan Martin9:15
53
Samuel Marthely et Mountaga Wane9:30Romain Planchon & Martin De Bats9:30
54
Alexandre Devaux--Rivière et Octave Jeanne9:45Pako TEKOU & Paul Rongieras9:45
55
Bastien Albizzati, Shubha Sanket Samantaray10:00Octave Leroy & Matéo Roinard--Chauvet10:00
56
Louis Tadayoni & Nawel Torchio10:15Yannaël Bossard Amaury de Vitry10:15
57
Elsa Doukhan - Martin Beaufils 10:30Homère Tandeau de Marsac & Léo Sarda Esteve10:30
58
Gabriel Mariadass + Arthur Gilles10:45mohammed taha belgnaoui 10:45
59
Lucas Lévy, Marlone Lequeux11:00Imane Haddouchi + mohammed taha belgnaoui11:00
60
tom pitois / antoine le maguet11:15Nicola Chiecchio Clarence Leconte11:15
61
Clément GILLI - Céline LIU11:30Ruben Cardoso, Jean Wallard11:30
62
Samuel Lhayani - Louis Hayot11:45Mohamed CHAGHROUN Maryam El Yaagoubi11:45
63
12:0012:00
64
65
66
Hana Feki -Mayeul LAMBERT13:30Marcos Tirador - El abdouni Hamza13:30
67
Karina Musina - Victor Galmiche13:45Gloire LINVANI/ Mobendza DORVAL13:45
68
Badea-Collin14:00Titouan Pottier/ Maxime Muhlethaler14:00
69
Jeanne Mirone - Eya Daoud14:15Kenani Aicha - Tanguy Lourme
14:15
70
Deodato BASTOS
Mathilde MORHAIN
14:30Hugo NARANJO LEON - Álvaro RUIZ LÓPEZ14:30
71
Noé Claudel - Félix Lebel14:45Gary KLAJER - Yasmine DAOUIA 14:45
72
Aymane Hamdaoui, Simon Elis15:00Royer Jules - Tristan Montalbetti15:00
73
Wardakhan Kévin, Claustre Arsène15:15Jules Désir - Janis AIAD15:15
74
Abel Verley, Rémi Baron15:30El Mehdi Nezahi & Rida Assalouh15:30
75
Oussama Zouhry - Keshav Das15:45Yassine Laraki - Amine Chraibi15:45
76
Mouhssine & Raphaël16:00Ewerthon Melzani , Sammy Oukaci16:00
77
Baran CELIK - Swann CORDIER16:15Wandrille Flamant, Titouan Le Breton16:15
78
Gaspard BEAUDOUIN - Tristan RIOU16:3016:30
79
16:45
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100