Who Cited It

Large-Scale Machine Learning with Stochastic Gradient Descent

2010 · 5,695 citations · 8 from inside this corpus

Léon Bottou

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Large-Scale Machine Learning with Stochastic Gradient Descent (2010)Large-Scale Machine Learning …Support-Vector Networks (1995)Support-Vector NetworksLearning Internal Representations by Error Propagation (1985)Learning Internal Representat…Advances in Neural Information Processing Systems 19 (2007)Advances in Neural Informatio…Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…RCV1: A New Benchmark Collection for Text Categorization Research (2004)RCV1: A New Benchmark Collect…On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities (1971)On the Uniform Convergence of…Training linear SVMs in linear time (2006)Training linear SVMs in linea…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…On hyperparameter optimization of machine learning algorithms: Theory and practice (2020)On hyperparameter optimizatio…Adaptive Federated Learning in Resource Constrained Edge Computing Systems (2019)Adaptive Federated Learning i…Automatic differentiation in machine learning: a survey (2017)Automatic differentiation in …Federated Learning with Non-IID Data (2018)Federated Learning with Non-I…A Review of Relational Machine Learning for Knowledge Graphs (2015)A Review of Relational Machin…Accessorize to a Crime (2016)Accessorize to a CrimeADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation (2018)ADVENT: Adversarial Entropy M…
15 of 15 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Support-Vector Networks199533,914
Learning Internal Representations by Error Propagation198516,273
Advances in Neural Information Processing Systems 19200715,653
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data200112,994
RCV1: A New Benchmark Collection for Text Categorization Research20042,604
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities19712,435
Training linear SVMs in linear time20061,961

What cites it, inside the corpus

PaperYearCited
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
On hyperparameter optimization of machine learning algorithms: Theory and practice20203,249
Adaptive Federated Learning in Resource Constrained Edge Computing Systems20192,293
Automatic differentiation in machine learning: a survey20172,094
Federated Learning with Non-IID Data20181,918
A Review of Relational Machine Learning for Knowledge Graphs20151,681
Accessorize to a Crime20161,596
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation20181,444

Links

DOI · OpenAlex record

Topics

Stochastic Gradient Optimization TechniquesComputer Science
Privacy-Preserving Technologies in DataComputer Science
Advanced Bandit Algorithms ResearchDecision Sciences

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports1 author record(s) attached.
  • supports26 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 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…