George Michailidis
16 papers · 2010–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(3)
π
Academic Marathon
(14)
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Cross-Pollinator
(12)
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(70)
π
Trend Setter
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Century Club
(16)
Conferences
JMLR (14)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
causal inference
(3)
high-dimensional estimation
(3)
vector autoregression
(3)
gaussian graphical model
(3)
network model
(2)
vector autoregressive model
(2)
time series analysis
(2)
alternating direction method
(2)
stochastic block model
(2)
neighborhood selection
(2)
high-dimensional regression
(2)
group lasso
(2)
high-dimensional datum
(2)
community detection
(2)
network analysis
(2)
maximum likelihood estimation
(2)
graphical model
(2)
granger causality
(2)
change point detection
(2)
covariance estimation
(1)
Papers
Logistic Regression Under Network Dependence
JMLR 2024
Axiomatic effect propagation in structural causal models
JMLR 2024
Inference on the Change Point under a High Dimensional Covariance Shift
JMLR 2023
Bayesian Spiked Laplacian Graphs
JMLR 2023
Low Tree-Rank Bayesian Vector Autoregression Models
JMLR 2023
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data
JMLR 2022
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models
JMLR 2022
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
ICML 2021
Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models
JMLR 2020
Change Point Estimation in a Dynamic Stochastic Block Model
JMLR 2020
Estimation of Graphical Models through Structured Norm Minimization
JMLR 2018
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models
JMLR 2017
Joint Structural Estimation of Multiple Graphical Models
JMLR 2016
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
JMLR 2016
Network Granger Causality with Inherent Grouping Structure
JMLR 2015
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
NIPS 2010