49 citations · 412 across the 50 of their papers we have counts for
11 papers · 1 filter
Kernel-Based Ensemble Learning in Python
Benjamin Guedj, Bhargav Srinivasa Desikan
We propose a new supervised learning algorithm, for classification and regression problems where two or more preliminary predictors are available. We introduce \texttt{KernelCobra}…
Still no free lunches: the price to pay for tighter PAC-Bayes bounds
Benjamin Guedj, Louis Pujol
"No free lunch" results state the impossibility of obtaining meaningful bounds on the error of a learning algorithm without prior assumptions and modelling. Some models are expensi…
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa, Pascal Germain, Benjamin Guedj
Contrastive unsupervised representation learning (CURL) is the state-of-the-art technique to learn representations (as a set of features) from unlabelled data. While CURL has colle…
Online k-means Clustering
Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade +1
We study the problem of online clustering where a clustering algorithm has to assign a new point that arrives to one of clusters. The specific formulation we use is the -mea…
PAC-Bayes Un-Expected Bernstein Inequality
Zakaria Mhammedi, Peter D. Grunwald, Benjamin Guedj
We present a new PAC-Bayesian generalization bound. Standard bounds contain a $\sqrt{L_n \cdot \KL/n}$ complexity term which dominates unless , the empirical error of the lear…
Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria
Pierre Alliez, Roberto Di Cosmo, Benjamin Guedj +4
Software is a fundamental pillar of modern scientiic research, not only in computer science, but actually across all elds and disciplines. However, there is a lack of adequate mean…