Russell Poldrack
7 papers · 2013–2022 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π£ Hot Topic Early Bird
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Keyword Champion
(3)
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(53)
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Trend Setter
Venues
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Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Healthcare & Medicine
(4)
Core Methods
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization
(3)
Research
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Clinical
(2)
Interdisciplinary
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
neuroimaging data
(3)
submodular optimization
(2)
structure learning
(2)
bayesian inference
(2)
gaussian process
(2)
sparse coding
(1)
high-dimensional statistics
(1)
variational inference
(1)
expectation maximization
(1)
self-supervised learning
(1)
convex optimization
(1)
low-rank approximation
(1)
predictive modeling
(1)
canonical correlation analysis
(1)
l1 regularization
(1)
high-dimensional estimation
(1)
feature selection
(1)
hierarchical model
(1)
coordinate descent
(1)
bayesian learning
(1)
Papers
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
NeurIPS 2022
Bayesian Structure Learning for Dynamic Brain Connectivity
AISTATS 2018
A Simple and Provable Algorithm for Sparse Diagonal CCA
ICML 2016
Sparse Submodular Probabilistic PCA
AISTATS 2015
On Prior Distributions and Approximate Inference for Structured Variables
NeurIPS 2014
Bayesian Structure Learning for Functional Neuroimaging
AISTATS 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables
NeurIPS 2013