Charles Margossian
6 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(6)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Models
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Mathematics
(2)
Optimization
(2)
Computer Vision
(1)
Probability
(1)
Processing
(1)
Keywords
bayesian inference
(4)
variational inference
(4)
hamiltonian monte carlo
(2)
markov chain monte carlo
(2)
effective sample size
(1)
convergence
(1)
stochastic process
(1)
score matching
(1)
posterior approximation
(1)
gradient-based sampling
(1)
diffusion model
(1)
gaussian distribution
(1)
gradient evaluation
(1)
gibbs algorithm
(1)
langevin diffusion
(1)
latent gaussian model
(1)
proximal update
(1)
location-scale family
(1)
cosmic microwave background
(1)
blind denoising
(1)
Papers
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
AISTATS 2025
Batch and match: black-box variational inference with a score-based divergence
ICML 2024
Listening to the noise: Blind Denoising with Gibbs Diffusion
ICML 2024
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
AISTATS 2023
Variational Inference with Gaussian Score Matching
NeurIPS 2023
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
NeurIPS 2020