Aleksandr Aravkin
4 papers · 2013–2019 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Hot Topic Early Bird
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Conference Pioneer
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Research topics
Keywords
convex optimization
(2)
variational inference
(1)
bayesian inference
(1)
group lasso
(1)
gaussian process
(1)
automatic relevance determination
(1)
sparse regression
(1)
sparse bayesian learning
(1)
support recovery
(1)
gaussian process classification
(1)
mean squared error
(1)
non-conjugate likelihood
(1)
state space model
(1)
latent gaussian model
(1)
huber loss
(1)
network sparsification
(1)
robust smoothing
(1)
singular covariance
(1)
non-convex optimization
(1)
grouped variable
(1)
Papers
Robust Singular Smoothers for Tracking Using Low-Fidelity Data
RSS 2019
Trimming the ℓ_1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
ICML 2019
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
JMLR 2014
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models
ICML 2013