← Authors

Nicolas Vayatis

26 papers · 2003–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸƒ Academic Marathon (22) 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (21) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (5) 🌟 Keyword Trendsetter Combo (9) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (5) πŸ’Ž Century Club (26) πŸ—ƒοΈ Keyword Collector (84) πŸ“ˆ Trend Setter

Conferences

NIPS (8) JMLR (7) ICML (5) AISTATS (4) AAAI (1) ICLR (1)

Top co-authors

Argyris Kalogeratos (7) Stéphan J. Clémençcon (4) Antoine de Mathelin (3) Mathilde Mougeot (3) Emile Richard (3) François Deheeger (3) Emile Contal (2) Pierre Humbert (2) Kevin Scaman (2) Remi Lemonnier (2)

Research topics

Statistics (1)

Keywords

roc curve (6) link prediction (3) graph analysis (3) auc optimization (3) bipartite ranking (3) scoring function (2) spectral representation (2) proximal method (2) graph structure learning (2) matrix completion (2) autoregressive model (2) graph signal (2) network analysis (2) non-parametric estimation (2) spectral radius (2) change-point detection (2) global optimization (2) oracle inequality (2) diffusion network (2) area under roc curve (2)

Papers

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm AAAI 2025
Collaborative likelihood-ratio estimation over graphs JMLR 2025
Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization 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
Discrepancy-Based Active Learning for Domain Adaptation ICLR 2022
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
Global optimization of Lipschitz functions ICML 2017
A ranking approach to global optimization ICML 2016
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks NIPS 2015
Gaussian Process Optimization with Mutual Information ICML 2014
Link Prediction in Graphs with Autoregressive Features JMLR 2014
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NIPS 2014
Ranking Forests JMLR 2013
Link Prediction in Graphs with Autoregressive Features NIPS 2012
Link Discovery using Graph Feature Tracking NIPS 2010
AUC optimization and the two-sample problem NIPS 2009
Empirical performance maximization for linear rank statistics NIPS 2008
On Bootstrapping the ROC Curve NIPS 2008
Overlaying classifiers: a practical approach for optimal ranking NIPS 2008
Ranking the Best Instances JMLR 2007
On the Rate of Convergence of Regularized Boosting Classifiers JMLR 2003