Argyris Kalogeratos
8 papers · 2012–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Gold 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (19)
🏆
Keyword Champion
(2)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Mathematics & Optimization
(7)
Core Methods
(5)
Mathematics
(4)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Bayesian & Probabilistic
(2)
Optimization
(2)
Statistics
(2)
Computer Science
(1)
Deep Learning
(1)
Applications · Computer Science
(1)
Applications · Data Science & Analytics
(1)
Learning Types · Deep Learning
(1)
Keywords
kernel methods
(4)
likelihood ratio estimation
(2)
spectral representation
(2)
change point detection
(2)
graph structure learning
(2)
nonparametric estimation
(2)
graph signal
(2)
unsupervised clustering
(1)
k-means clustering
(1)
model selection
(1)
oracle inequality
(1)
sensor networks
(1)
density ratio estimation
(1)
graph-based learning
(1)
cluster number estimation
(1)
particle filtering
(1)
likelihood ratio
(1)
global optimization
(1)
functional minimization
(1)
spectral analysis
(1)
Papers
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
Dip-means: an incremental clustering method for estimating the number of clusters
NeurIPS 2012