Damek Davis
9 papers · 2014–2025 · 4 venues · across top CS/AI venues
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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Optimization & Theory Β· Machine Learning
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non-convex optimization
(2)
proximal point method
(2)
stochastic optimization
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stochastic convex optimization
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sample complexity
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convergence rate
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(1)
matrix factorization
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visual search
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kernel approximation
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empirical risk minimization
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kernel pca
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illumination invariance
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linear regression
(1)
expectation maximization
(1)
stochastic approximation
(1)
image matching
(1)
multi-view learning
(1)
Papers
Online Covariance Estimation in Nonsmooth Stochastic Approximation
COLT 2025
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
NeurIPS 2023
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
NeurIPS 2022
From Low Probability to High Confidence in Stochastic Convex Optimization
JMLR 2021
High probability guarantees for stochastic convex optimization
COLT 2020
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression
COLT 2019
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
NeurIPS 2016
Multi-View Feature Engineering and Learning
CVPR 2015
Asymmetric Sparse Kernel Approximations for Large-scale Visual Search
CVPR 2014