Youssef Marzouk
15 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (31)
π
Keyword Champion
(7)
ποΈ
Keyword Collector
(72)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Mathematics & Optimization
(8)
Optimization & Theory
(8)
Mathematics
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Optimization
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Deep Learning
(3)
Models
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Keywords
transport map
(7)
variational inference
(4)
non-gaussian distribution
(3)
graphical model
(3)
velocity field
(3)
conditional independence
(3)
probabilistic graphical model
(2)
structure learning
(2)
markov random field
(2)
bayesian inference
(1)
laplace approximation
(1)
posterior distribution
(1)
gaussian process
(1)
mutual information
(1)
dimensionality reduction
(1)
function space
(1)
experimental design
(1)
covariance estimation
(1)
probabilistic modeling
(1)
nonparametric estimation
(1)
Papers
LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport
JMLR 2026
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
AISTATS 2025
Learning Local Neighborhoods of Non-Gaussian Graphical Models
AAAI 2025
Optimal Scheduling of Dynamic Transport
COLT 2025
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective
JMLR 2024
Infinite-Dimensional Diffusion Models
JMLR 2024
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport
JMLR 2024
Sampling in Unit Time with Kernel Fisher-Rao Flow
ICML 2024
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
ICML 2023
Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design
JMLR 2021
Greedy inference with structure-exploiting lazy maps
NeurIPS 2020
A Stein variational Newton method
NeurIPS 2018
Inference via Low-Dimensional Couplings
JMLR 2018
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
NeurIPS 2017
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition
RSS 2015