Hoang Phuc Hau Luu
5 papers · 2022–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Optimization
(2)
Artificial Intelligence
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Types
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
stochastic optimization
(2)
non-convex optimization
(2)
variational inference
(1)
uncertainty quantification
(1)
optimal transport
(1)
markov chain monte carlo
(1)
gaussian process
(1)
variance reduction
(1)
monte carlo sampling
(1)
machine learning
(1)
slice sampling
(1)
sparse linear regression
(1)
probability measure
(1)
riemannian manifold
(1)
multimodal distribution
(1)
gaussian distribution
(1)
wasserstein space
(1)
forward-backward euler
(1)
control variate
(1)
kernel function
(1)
Papers
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
UAI 2025
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
ICLR 2025
Error bounds for any regression model using Gaussian processes with gradient information
AISTATS 2024
Non-geodesically-convex optimization in the Wasserstein space
NeurIPS 2024
Stochastic DCA with Variance Reduction and Applications in Machine Learning
JMLR 2022