Katya Scheinberg
8 papers · 2001–2022 · 3 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Ultra π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (15)
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Topic Pioneer
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Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
convex optimization
(4)
quadratic programming
(2)
support vector machine
(2)
stochastic gradient descent
(2)
convergence analysis
(2)
finite-sum minimization
(2)
variance reduction
(1)
low-rank approximation
(1)
structure learning
(1)
empirical risk minimization
(1)
distributed optimization
(1)
gradient descent
(1)
incremental learning
(1)
kernel matrix
(1)
sparse inverse covariance
(1)
strongly convex
(1)
sparse optimization
(1)
maximum likelihood estimation
(1)
sparse estimation
(1)
non-convex optimization
(1)
Papers
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
ICML 2022
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
NeurIPS 2021
New Convergence Aspects of Stochastic Gradient Algorithms
JMLR 2019
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
ICML 2018
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
ICML 2017
Sparse Inverse Covariance Selection via Alternating Linearization Methods
NeurIPS 2010
An Efficient Implementation of an Active Set Method for SVMs
JMLR 2006
Efficient SVM Training Using Low-Rank Kernel Representations
JMLR 2001