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2021-06
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound.
2021-04
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound.
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
2020-04
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
2019-10
PAC-Bayesian Contrastive Unsupervised Representation Learning
UAI 2019
(2019-10-10)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:1910.04464 (2019-10-10)]2019-09
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
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