Pegasos: primal estimated sub-gradient solver for SVM

Shai Shalev‐Shwartz; Yoram Singer; Nathan Srebro; Andrew Cotter

doi:https://doi.org/10.1007/s10107-010-0420-4

Pegasos: primal estimated sub-gradient solver for SVM

2010 · Mathematical Programming · 1,525 citations · 1 from inside this corpus

Shai Shalev‐Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter

No abstract in the source record.

9 of 9 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Accelerating Stochastic Gradient Descent using Predictive Variance Reduction→Pegasos: primal estimated sub-gradient solver for SVMLegacy edge — source detail unavailable
Pegasos: primal estimated sub-gradient solver for SVM→Statistical Learning TheoryLegacy edge — source detail unavailable
Pegasos: primal estimated sub-gradient solver for SVM→Advances in kernel methods: support vector learningLegacy edge — source detail unavailable
Pegasos: primal estimated sub-gradient solver for SVM→An Introduction to Support Vector MachinesLegacy edge — source detail unavailable
Pegasos: primal estimated sub-gradient solver for SVM→ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16Legacy edge — source detail unavailable
Pegasos: primal estimated sub-gradient solver for SVM→Training linear SVMs in linear timeLegacy edge — source detail unavailable
Pegasos: primal estimated sub-gradient solver for SVM→Introduction to Stochastic Search and OptimizationLegacy edge — source detail unavailable
Pegasos: primal estimated sub-gradient solver for SVM→Making Large-Scale Support Vector Machine Learning PracticalLegacy edge — source detail unavailable
Pegasos: primal estimated sub-gradient solver for SVM→Online Passive-Aggressive AlgorithmsLegacy edge — source detail unavailable
Training linear SVMs in linear time→Advances in kernel methods: support vector learningLegacy edge — source detail unavailable
Online Passive-Aggressive Algorithms→An Introduction to Support Vector MachinesLegacy edge — source detail unavailable
Online Passive-Aggressive Algorithms→Statistical Learning TheoryLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Statistical Learning Theory	1999	26,957
Advances in kernel methods: support vector learning	1999	5,819
An Introduction to Support Vector Machines	2000	4,134
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16	2004	2,029
Training linear SVMs in linear time	2006	1,961
Introduction to Stochastic Search and Optimization	2003	1,911
Making Large-Scale Support Vector Machine Learning Practical	1998	1,569
Online Passive-Aggressive Algorithms	2006	1,453

What cites it, inside the corpus

Paper	Year	Cited
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction	2013	1,916

Links

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Topics

Machine Learning and Algorithms	Computer Science
Stochastic Gradient Optimization Techniques	Computer Science
Machine Learning and ELM	Computer Science

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complete

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supports4 author record(s) attached.
supports44 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:57+00:00.

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