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2021-12
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
2021-10
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations
A General Framework for the Disintegration of PAC-Bayesian Bounds
2021-09
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
PKDD 2021
(2021-09-13)
hal.archives-ouvertes.frPDF[Also on arXiv preprint arXiv:2104.13626 (2021-04-28)]2021-06
Apprentissage de Vote de Majorité par Minimisation d'une C-Borne PAC-Bayésienne
Dérandomisation des Bornes PAC-Bayésiennes
2021-02
A General Framework for the Derandomization of PAC-Bayesian Bounds
2020-10
Implicit Variational Inference: the Parameter and the Predictor Space.
2020-09
Target to Source Coordinate-wise Adaptation of Pre-trained Models
Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting
2020-08
PAC-Bayesian Contrastive Unsupervised Representation Learning
2020-04
Improved PAC-Bayesian Bounds for Linear Regression
2020-02
PAC-Bayes and Domain Adaptation
2019-12
Domain Adaptation from a Pre-trained Source Model: Application on fraud detection tasks
CMStatistics 2019 - 12th International Conference of the ERCIM WG on Computational and Methodological Statistics
(2019-12-14)
hal.archives-ouvertes.frDichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
2019-09
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
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