Benjamin Guedj

According to our database1, Benjamin Guedj authored at least 21 papers between 2016 and 2020.

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Bibliography

2020
Kernel-Based Ensemble Learning in Python.
Inf., 2020

Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria.
Comput. Sci. Eng., 2020

PAC-Bayesian Bound for the Conditional Value at Risk.
CoRR, 2020

Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks.
CoRR, 2020

PAC-Bayes unleashed: generalisation bounds with unbounded losses.
CoRR, 2020

How opinions crystallise: an analysis of polarisation in the voter model.
CoRR, 2020

From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning.
CoRR, 2020

Non-linear Aggregation of Filters to Improve Image Denoising.
Proceedings of the Intelligent Computing, 2020

2019
PAC-Bayesian Contrastive Unsupervised Representation Learning.
CoRR, 2019

Still no free lunches: the price to pay for tighter PAC-Bayes bounds.
CoRR, 2019

Online k-means Clustering.
CoRR, 2019

Perturbed Model Validation: A New Framework to Validate Model Relevance.
CoRR, 2019

Revisiting clustering as matrix factorisation on the Stiefel manifold.
CoRR, 2019

A Primer on PAC-Bayesian Learning.
CoRR, 2019

Decentralized Learning with Budgeted Network Load Using Gaussian Copulas and Classifier Ensembles.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

PAC-Bayes Un-Expected Bernstein Inequality.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Simpler PAC-Bayesian bounds for hostile data.
Mach. Learn., 2018

Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly.
CoRR, 2018

2017
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation.
J. Mach. Learn. Res., 2017

2016
COBRA: A combined regression strategy.
J. Multivar. Anal., 2016


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