Gunwoong Park
8 papers · 2015–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (13) π£ Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Core AI
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Core Methods
(4)
Knowledge & Reasoning
(3)
Reasoning
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Optimization & Theory
(2)
Learning Types
(1)
Mathematics
(1)
Statistics
(1)
Keywords
causal discovery
(5)
graphical model
(4)
directed acyclic graph
(4)
structure learning
(3)
structural equation model
(3)
causal inference
(2)
high-dimensional statistics
(2)
l1 regularization
(2)
bayesian network
(2)
poisson distribution
(2)
high-dimensional linear model
(1)
structure recovery
(1)
l1-regularized regression
(1)
high-dimensional inference
(1)
overdispersion scoring
(1)
sample complexity
(1)
graph recovery
(1)
probabilistic modeling
(1)
linear non-gaussian acyclic model
(1)
additive noise model
(1)
Papers
Probabilistic Edge Modulation for High-Dimensional Causal Discovery
UAI 2026
Optimal estimation of linear non-Gaussian structure equation models
AISTATS 2025
Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression
JMLR 2021
Identifiability of Additive Noise Models Using Conditional Variances
JMLR 2020
High-Dimensional Poisson Structural Equation Model Learning via β_1-Regularized Regression
JMLR 2019
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models
AISTATS 2019
Learning Quadratic Variance Function (QVF) DAG Models via OverDispersion Scoring (ODS)
JMLR 2018
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring
NeurIPS 2015