Ali Shojaie
12 papers · 2010–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π£ Hot Topic Early Bird π Renaissance Researcher (5)
π
Interdisciplinary Bridge
π
Conference Polyglot
(4)
π
Academic Marathon
(15)
ποΈ
Keyword Collector
(59)
π
Century Club
(12)
π
Trend Setter
Conferences
JMLR (7)
AISTATS (2)
NIPS (2)
CLEAR (1)
Top co-authors
Research topics
Keywords
network model
(2)
directed acyclic graph
(2)
non-negative datum
(2)
score matching
(2)
exponential family
(2)
parameter estimation
(2)
causal structure learning
(1)
causal discovery
(1)
convex optimization
(1)
grouping structure
(1)
linear gaussian
(1)
dimension reduction
(1)
maximum likelihood
(1)
network analysis
(1)
high-dimensional regression
(1)
network causality
(1)
coordinate descent
(1)
granger causality
(1)
nonparametric regression
(1)
gene expression
(1)
Papers
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models
JMLR 2025
Spectral Differential Network Analysis for High-Dimensional Time Series
AISTATS 2025
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks
JMLR 2023
Directed Graphical Models and Causal Discovery for Zero-Inflated Data
CLEAR 2023
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
JMLR 2023
Generalized Sparse Additive Models
JMLR 2022
Generalized Score Matching for Non-Negative Data
JMLR 2019
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks
JMLR 2019
Graphical Models for Non-Negative Data Using Generalized Score Matching
AISTATS 2018
Wavelet regression and additive models for irregularly spaced data
NIPS 2018
Network Granger Causality with Inherent Grouping Structure
JMLR 2015
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
NIPS 2010