Katya Scheinberg
8 papers · 2001–2022 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(3)
π
Academic Marathon
(21)
π
Keyword Trendsetter Combo
(3)
π±
Topic Pioneer
π
Trend Setter
Conferences
ICML (3)
JMLR (3)
NIPS (2)
Top co-authors
Keywords
convex optimization
(4)
support vector machine
(2)
finite-sum minimization
(2)
stochastic gradient descent
(2)
convergence analysis
(2)
quadratic programming
(2)
variance reduction
(1)
low-rank approximation
(1)
structure learning
(1)
empirical risk minimization
(1)
inverse covariance
(1)
gradient descent
(1)
distributed optimization
(1)
kernel matrix
(1)
sparse optimization
(1)
incremental learning
(1)
sparse inverse covariance
(1)
strongly convex
(1)
sparse estimation
(1)
nonconvex optimization
(1)
Papers
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
ICML 2022
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
NIPS 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
NIPS 2010
An Efficient Implementation of an Active Set Method for SVMs
JMLR 2006
Efficient SVM Training Using Low-Rank Kernel Representations
JMLR 2001