activity
20082026
most citedThe group fused Lasso for multiple change-point detection

136 citations · 243 across the 8 of their papers we have counts for

collaborators

9 papers

stat.ML2026

Extreme classification: beating chance with one training example from each class

Kevin Bleakley, Aaditya Ramdas

We study a minimal classification problem: Given independent labeled observations and from two unknown distributions , and given an independent target …

stat.ME2026

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection

Dhia-Elhaq Ouerfelli, Sylvain Arlot, Kevin Bleakley +1

We consider the post-detection analysis of change-points for multivariate time series, with the goal of identifying which coordinates are responsible for a detected change. After a…

math.ST2024

Extreme change-point detection

Kevin Bleakley

We examine rules for predicting whether a point in generated from a 50-50 mixture of two different probability distributions came from one distribution or the other, g…

q-bio.PE2017★ 100 cited

Increased adaptive immune responses and proper feedback regulation protect against clinical dengue

Etienne Simon-Loriere, Veasna Duong, Ahmed Tawfik +11

Dengue is the most prevalent arthropod-borne viral disease. Clinical symptoms of dengue virus (DENV) infection range from classical mild dengue fever to severe, life-threatening de…

math.ST2015★ 4 cited

The Statistical Performance of Collaborative Inference

Gérard Biau, Kevin Bleakley, Benoit Cadre

The statistical analysis of massive and complex data sets will require the development of algorithms that depend on distributed computing and collaborative inference. Inspired by t…

math.ST2015

Long signal change-point detection

Gérard Biau, Kevin Bleakley, David Mason

The detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance. We derive the asymptotic distributi…