Synthèse par axes de recherche

Axe 1 : Analyse et prévision de séries temporelles – 22 publications
Axe 2 : Exploitation à grande échelle de données partiellement étiquetées et hétérogènes – 21 publications
Axe 3 : Apprentissage statistique au service d’une prise de décision fiable et robuste – 28 publications
Axe 4 : Apprentissage en interaction avec l’environnement – 4 publications

Tous axes confondus

International Conference Proceedings

Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019
Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, Roman Garnett
NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. 2019 [contents]

Axe 1 : Analyse et prévision de séries temporelles

Journals

Time-frequency analysis of locally stationary Hawkes
François Roueff and Rainer von Sachs
Bernoulli
https://hal.archives-ouvertes.fr/hal-01502252

Merit-guided dynamic feature selection filter for data streams
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Expert Syst. Appl. 116: 227-242 (2019)

On learning guarantees to unsupervised concept drift detection on data streams
Rodrigo Fernandes de Mello, Yule Vaz, Carlos Henrique Grossi Ferreira, Albert Bifet
Expert Syst. Appl. 117: 90-102 (2019)

Recurring concept meta-learning for evolving data streams
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
Expert Syst. Appl. 138 (2019)

Efficient frequent subgraph mining on large streaming graphs
Abhik Ray, Lawrence B. Holder, Albert Bifet
Intell. Data Anal. 23(1): 103-132 (2019)

Boosting decision stumps for dynamic feature selection on data streams
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert
Bifet, Bernhard Pfahringer
Inf. Syst. 83: 13-29 (2019)

New results on approximate Hilbert pairs of wavelet filters with common factors
Sophie Achard, Irène Gannaz, Marianne Clausel and François Roueff
Journal of Applied and Computational Harmonic Analysis
https://hal.archives-ouvertes.fr/hal-01613583
https://www.sciencedirect.com/science/article/pii/S1063520319301046

Posterior consistency for partially observed Markov models
Randal Douc, Jimmy Olsson and
Journal of Stochastic Processes and their Applications
http://arxiv.org/abs/1608.06851v2

Statistical Learning Based On Markovian Data: Maximal Deviation Inequalities and Learning Rates
Stephan Clémençon, Gabriela Ciolek (Telecom Paris) and Patrice Bertail (Université Paris-Ouest).
In the Annals of Mathematics and Artificial Intelligence.

Conferences proceedings

Streaming Random Patches for Evolving Data Stream Classification
Heitor Murilo Gomes, Jesse Read, Albert Bifet
IEEE International Conference on Data Mining (ICDM), 2019
Adaptive Random Forests with Resampling for Imbalanced data Streams
Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira
IJCNN 2019: 1-6

Semi-supervised Learning over Streaming Data using MOA
Minh Huong Le Nguyen, Heitor Murilo Gomes, and Albert Bifet
IEEE Big Data Conference 2019

Feature Scoring using Tree-Based Ensembles for Evolving Data Streams
Heitor Murilo Gomes, Rodrigo Mello, Bernhard Pfahringer, and Albert
Bifet
IEEE Big Data Conference 2019

Arbitrated Dynamic Ensemble with Abstaining and Diversity Forecasting ensembles on Data Streams
Dihia Boulegane, Albert Bifet, and Giyyarpuram Madhusudan
IEEE Big Data Conference 2019

Functional Isolation Forest
G. Staermann (Telecom Paris), P. Mozharovskyi (Telecom Paris), Stéphan Clémençon and F. d’Alché-Buc (Telecom Paris)
Proceedings of ACML, 2019

Seq2VAR: Multivariate Time Series Representation with Relational Neural Networks
E. Pineau, S. Razakarivony, T. Bonald
ECML / PKDD Workshop 2019

Working Papers / Preprints

Rademacher complexity for Markov chains: Applications to kernel smoothing and Metropolis–Hastings
Patrice Bertail and François Portier
https://projecteuclid.org/euclid.bj/1569398789

Necessary and sufficient conditions for the identifiability of observation-driven models
Randal Douc, François Roueff, and Tepmony Sim (Working paper)
https://hal.archives-ouvertes.fr/hal-02088860
https://hal.archives-ouvertes.fr/hal-02088860/file/ident_genod.pdf

General-order observation-driven models: ergodicity and consistency of the maximum likelihood estimator
Tepmony Sim, Randal Douc, and François Roueff (Working paper)
https://hal.archives-ouvertes.fr/hal-01383554

Divergence Expectation Iteration Scheme
Kamélia Daudel, Randal Douc, François Portiers, and François Roueff (Working paper)
https://hal.archives-ouvertes.fr/hal-02298857
https://hal.archives-ouvertes.fr/hal-02298857/file/ddpr2019.pdf
https://arxiv.org/abs/1909.12239

Spectral representations of weakly stationary processes valued in a separable Hilbert space : a survey with applications on functional time series
Amaury Durand, and François Roueff (Working paper)
https://hal.telecom-Paris.fr/hal-02318267
https://hal.telecom-Paris.fr/hal-02318267/file/filtering-hilbert.pdf
https://arxiv.org/abs/1910.08491

Axe 2 : Exploitation à grande échelle de données partiellement étiquetées et hétérogènes

Book chapters

Knowledge Harvesting: Achievements and Challenges
Gerhard Weikum, Johannes Hoffart, Fabian M. Suchanek
Book chapter in Springer: Computing and Software Science (LNCS), 2019
Journals

A Coordinate Descent Primal-Dual Algorithm with Large Step Size and Possibly Non Separable Functions
Olivier Fercoq and P. Bianchi
SIAM Journal on Optimization, 29(1), pp. 100-134, 2019.

Restarting the accelerated coordinate descent method with a rough strong convexity estimate
Olivier Fercoq and Z. Qu
Computational Optimization and Applications, 2019.

Adaptive restart of accelerated gradient methods under local quadratic growth condition
Olivier Fercoq and Z. Qu
IMA Journal of Numerical Analysis, 2019.

Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise.
Gasco, L., Clavel, C., Asensio, C. and de Arcas, G., 2019.
Science of The Total Environment, 658, pp.69-79.

Improved small molecule identification through learning combinations of kernel regression models
C. Brouard, A. Bassé, F. d’Alché-Buc and J. Rousu
Metabolites, 9(8):160, 2019. [ Link | Code ]

Conferences proceedings

Autoencoding any Data through Kernel Autoencoders
Pierre Laforgue (Télécom Paris), Stephan Clémençon (Télécom Paris), Florence d’Alché-Buc (Télécom Paris).
https://arxiv.org/abs/1805.11028
In the Proceedings of AISTATS, Okinawa, Japan, 2019.

Knowledge Representation and Rule Mining in Entity-Centric Knowledge Bases
Fabian M. Suchanek, Jonathan Lajus, Armand Boschin, Gerhard Weikum
Invited paper at the Reasoning Web Summer School (RW), 2019

Anytime Large-Scale Analytics of Linked Open Data
Arnaud Soulet, Fabian M. Suchanek
Full paper at the International Semantic Web Conference (ISWC), 2019

Querying the Edit History of Wikidata
Thomas Pellissier Tanon, Fabian M. Suchanek
Demo at the Extended Semantic Web Conference (ESWC), 2019

Learning How to Correct a Knowledge Base from the Edit History
Thomas Pellissier Tanon, Camille Bourgaux, Fabian M. Suchanek
Full paper at the The Web Conference (WWW), 2019

Safe Grid Search with Optimal Complexity
E. Ndiaye, T. Le, Olivier Fercoq, J. Salmon and I. Takeuchi.
In Proc. of the International Conference on Machine Learning, 2019.

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid and Chloé Clavel
EMNLP 2019

HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews
L. Hemamou, G. Felhi, V. Vandenbussche, J.-C. Martin, C. Clavel
In AAAI 2019

Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
Robin Vogel (Télécom Paris), Aurélien Bellet (INRIA), Stephan Clémençon (Télécom Paris), Ons Jelassi (Télécom Paris) and Guillaume Papa (Télécom Paris)
In the Proceedings of ECML, 2019.

Traffic flow and travel speed estimation through Bluetooth sensing
Stephan Clémençon with S. Boudabous (Vedecom), J. Garbiso (Vedecom), B. Leroy (Vedecom) and H. Labiod (Telecom Paris).
In the Proceedings of VTC-Spring 2019.

Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach
Mastane Achab (Télécom Paris), Anna Korba (UCL), Stephan Clémençon (Télécom Paris)
In the Proceedings of ALT, Chicago, USA, 2019.

Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering
B. Charpentier, T. Bonald
IJCAI 2019

Working Papers

On the Dualization of Operator-Valued Kernel Machines
Pierre Laforgue, Alex Lambert, Luc Motte, Florence d’Alché-Buc
CoRR abs/1910.04621 (2019)

A multimodal movie review corpus for fine-grained opinion mining
Alexandre Garcia, Slim Essid, Florence d’Alché-Buc, Chloé Clavel
CoRR abs/1902.10102 (2019)

Axe 3 : Apprentissage statistique au service d’une prise de décision fiable et robuste

Journals

An Adaptive Primal-Dual Framework for Nonsmooth Convex Minimization
Q. Tran-Dinh, A. Alacaoglu, Olivier Fercoq and V. Cevher.
Mathematical Programming Computation, 2019

A generic coordinate descent solver for nonsmooth convex optimization
Olivier Fercoq
Optimization Methods and Software, pp 1-21, 2019.

Smooth minimization of nonsmooth functions with parallel coordinate descent methods
Olivier Fercoq and P. Richtárik.
In: Modeling and Optimization: Theory and Applications, edited by J. Pintér and T. Terlaky, 2019.

Visual Representation of Online Handwriting Time Series for Deep Learning Parkinson’s Disease Detection
Catherine Taleb, Maha Khachab, Chafic Mokbel, Laurence Likforman-Sulem:
ASAR@ICDAR 2019: 25-30

Improving Deep Learning Parkinson’s Disease Detection Through Data Augmentation Training
Catherine Taleb, Laurence Likforman-Sulem, Chafic Mokbel:
MedPRAI 2019: 79-93

A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization
Maël Chiapino (Télécom Paris), Stephan Clémençon (Télécom Paris) Vincent Feuillard (Airbus) and Anne Sabourin (Télécom Paris).
https://arxiv.org/abs/1907.07523
In Computational Statistics

Conferences proceedings

Stochastic Conditional Gradient Method for Composite Convex Minimization
F. Locatello, A. Yurtsever, Olivier Fercoq and V. Cevher.
In Proc. of the conference on Neural Information Processing Systems, 2019

Almost surely constrained convex optimization
Olivier Fercoq, A. Alacaoglu, I. Necoara and V. Cevher.
In Proc. of the International Conference on Machine Learning, 2019.

A conditional gradient-based augmented Lagrangian framework
A. Yurtsever, Olivier Fercoq and V. Cevher.
In Proc. of the International Conference on Machine Learning, 2019.

Learning methods for rssi- based geolocation: A comparative study
K. Elgui, P. Bianchi, F. Portier, and O. Isson
EUSIPCO 2019, Spain

Learning methods for rssi-based geolocation
K. Elgui, P. Bianchi, F. Portier, and O. Isson.
Presented to CAp 2019, Toulouse.

Metric Learning for Fingerprint RSSI-Localization
Accepted to IEEE/ ION PLANS 2020.
P. Bianchi

Infinite Task Learning in RKHSs
Romain Brault, Alex Lambert, Zoltán Szabó, Maxime Sangnier, Florence d’Alché-Buc:
AISTATS 2019: 1294-1302

A LSTM Approach to Detection of Autonomous Vehicle Hijacking
Naman Negi (Télécom Paris), Ons Jelassi (Télécom Paris), Stephan Clémençon (Télécom Paris), Sebastian Fischmeister
https://openreview.net/forum?id=Byx3AHjA97
In the Proceedings of VEHITS, 2019.

On Tree-based Methods for Similarity Learning
Stephan Clémençon (Télécom Paris), Robin Vogel (Télécom Paris and IDEMIA).
https://arxiv.org/abs/1906.09243
In the Proceedings of LOD, 2019.

On Medians of (Randomized) Pairwise Means
Pierre Laforgue (Télécom Paris), Stephan Clémençon (Télécom Paris), Patrice Bertail (Université Paris X)
http://proceedings.mlr.press/v97/clemencon19a.html
In the Proceedings of ICML, Longbeach, USA, 2019.

Towards closing the gap between the theory and practice of SVRG
O. Sebbouh, N. Gazagnadou, S. Jelassi, F. Bach, Robert M. Gower.
Neurips 2019.

RSN: Randomized Subspace Newton
Robert M. Gower, D. Kovalev, F. Lieder, P. Richtárik.
Neurips 2019

Optimal mini-batch and step sizes for SAGA
N. Gazagnadou, Robert M. Gower, J. Salmon.
ICML 2019

SGD: general analysis and improved rates
Robert M. Gower, N. Loizou, X. Qian, A. Sailanbayev, E. Shulgin, P. Richtárik.
Extended oral presentation, ICML 2019.

Working Papers / Preprints

Metric Learning with XGBoost
K. Elgui, P. Bianchi, F. Portier, and O. Isson.
Sumbitted to ICASSP 2020

Learning methods for rssi- based geolocation: A comparative study
K. Elgui, P. Bianchi, F. Portier, and O. Isson.
Submitted to Pervasive and Mobile Computing (Journal Elsevier).

Slices of Attention in Asynchronous Video Job Interviews
Hemamou, L., Felhi, G., Martin, J. C., & Clavel, C. (2019).
ACII 2019

Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
A. Fallah, M. Gurbuzbalaban, A. Ozdaglar, U. Şimşekli, L. Zhu
arXiv, 2019

Approximate Bayesian Computation with the Sliced-Wasserstein Distance
K. Nadjahi, V. De Bortoli, A. Durmus, R. Badeau, U. Şimşekli
arXiv, 2019

Adaptive Sketch-and-Project Methods for Solving Linear Systems
Robert M. Gower, Denali Molitor, Jacob Moorman, Deanna Needell.
2019

Statistical Learning from Biased Training Samples (Preprint)
Pierre Laforgue
https://arxiv.org/abs/1906.12304

Axe 4 : Apprentissage en interaction avec l’environnement

Journals

On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction
Atef Ben Youssef, Giovanna Varni, Slim Essid, Chloé Clavel
International Journal of Social Robotics, 2019.

Early Detection of User Engagement Breakdown in Spontaneous Human-Humanoid Interaction
Atef Ben Youssef ; Chloe Clavel ; Slim Essid
IEEE Transactions on Affective Computing, 2019

Conferences proceedings

Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization
Anas Barakat and Pascal Bianchi,
11th OPT Workshop on Optimization for Machine Learning 2019, Vancouver, Canada
https://hal.telecom-Paris.fr/hal-02366337v1

Working Papers / Preprints

Convergence and Dynamical Behavior of the Adam Algorithm for Non Convex Stochastic Optimization
Anas Barakat and Pascal Bianchi (preprint arxiv)
https://hal.telecom-Paris.fr/hal-02366280v1