Nicolas Vayatis
27 papers · 2003–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 30% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Nicolas Vayatis?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Argyris Kalogeratos, Laurent Oudre, Batiste Le Bars
8 papers
· 2018–2025
· AISTATS, JMLR, ICML
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Collaborative likelihood-ratio estimation over graphs
JMLR 2025
Collaborative non-parametric two-sample testing
AISTATS 2025
Stein Boltzmann Sampling: A Variational Approach for Global Optimization
AISTATS 2025
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization
AISTATS 2024
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation
JMLR 2021
Offline detection of change-points in the mean for stationary graph signals.
AISTATS 2021
Learning the piece-wise constant graph structure of a varying Ising model
ICML 2020
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
ICML 2018