CAp2021 : Conférence sur l'Apprentissage automatique

Apprentissage de représentation 2

Chair : Thierry Artières

[22] Beneficial effect of combined replay for continual learning

Miguel A. Solinas, Marion Mainsant, Marina Reyboz, Stephane Rousset and Martial Mermillod

[35] Adversarial dictionary learning

Jordan Frecon, Lucas Anquetil, Gilles Gasso and Stéphane Canu

[29] Target Consistency for Domain Adaptation: when Robustness meets Transferability

Yassine Ouali, Victor Bouvier, Myriam Tami and Hudelot Céline

Conférencier invité : Marco Cuturi
Differentiating through Optimal Transport
10h45-12h00
Chair : Nicolas Courty

Marco Cuturi

Optimization

Chairs : Stéphane Chrétien et Romuald Elie

[41] Anderson acceleration of coordinate descent

Quentin Bertrand and Mathurin Massias

[47] Primal Coordinate Descent for Differentially Private Empirical Risk Minimization

Paul Mangold, Aurélien Bellet, Joseph Salmon and Marc Tommasi

[30] Smooth optimization of orthogonal wavelet basis

Jordan Frecon, Riccardo Grazzi, Saverio Salzo and Massimiliano Pontil

Session MALIA (SFdS) - stat & optimisation

- Franck Iutzeler (LJK): "Harnessing Structure in Regularized Empirical Risk Minimization" - Mardi 15 à 14h30
- Aude Genevay (MIT) : "Stochastic Optimization for Optimal Transport in Machine Learning" - Mardi 15 à 15h00
Chairs : Stéphane Chrétien et Romuald Elie

Session MALIA (SFdS) - statistique et optimisation

Session CRITEO - Privacy and Machine Learning

- Sinem Sav (EPFL) : "POSEIDON: Privacy-Preserving Federated Neural Network Learning" - mardi 15 à 15h45
- Restitution du challenge - mardi 15 à 16h45
Chairs : Eustache Diemert, Jérémie Mary, Liva Ralaivola, Ugo Tanielian

Session CRITEO - Privacy and Machine Learning

Posters

[2], [7], [8], [9], [12], [16], [18], [22], [25], [27], [28], [29], [30], [35], [38], [41], [42], [44], [47], [48]

https://cap2021.sciencesconf.org/data/program/posters_2.pdf