Name
Affiliation
Papers
BENJAMIN GUEDJ
Inria, France
25
Collaborators
Citations 
PageRank 
45
9
8.82
Referers 
Referees 
References 
39
154
68
Search Limit
100154
Title
Citations
PageRank
Year
Non-Vacuous Generalisation Bounds for Shallow Neural Networks.00.342022
MAGMA: inference and prediction using multi-task Gaussian processes with common mean00.342022
On Margins and Derandomisation in PAC-Bayes00.342022
Online K-Means Clustering00.342021
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly00.342021
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks00.342021
PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses00.342021
Towards Control of Opinion Diversity by Introducing Zealots into a Polarised Social Group.00.342021
Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds00.342021
Forecasting Elections Results Via The Voter Model With Stubborn Nodes00.342021
PAC-Bayesian Bound for the Conditional Value at Risk00.342020
Kernel-Based Ensemble Learning In Python00.342020
PAC-Bayesian Contrastive Unsupervised Representation Learning00.342020
Perturbed Model Validation: A New Framework to Validate Model Relevance.00.342019
Non-linear aggregation of filters to improve image denoising.00.342019
Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria.00.342019
A Primer on PAC-Bayesian Learning.10.362019
PAC-Bayes Un-Expected Bernstein Inequality.00.342019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks.00.342019
Revisiting clustering as matrix factorisation on the Stiefel manifold.00.342019
Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles.00.342018
Simpler PAC-Bayesian bounds for hostile data.30.412018
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly.00.342018
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation.20.362017
COBRA: A combined regression strategy.30.602016