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Foundations and Trends® in Machine Learning

ISSNs: 1935-8237, 1935-8245
Source type: journal
Publisher: Now Publishers
Fully OA: No
DOAJ: No
OpenAlex ID: S4210188176
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2011 · Stephen Boyd, Neal Parikh, et al. · Foundations and Trends® in Machine Learning · 16,395
Learning Deep Architectures for AI
2009 · Y. Bengio · Foundations and Trends® in Machine Learning · 6,938
Advances and Open Problems in Federated Learning
2020 · Peter Kairouz, H. Brendan McMahan, et al. · Foundations and Trends® in Machine Learning · 6,341
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An Introduction to Variational Autoencoders
2019 · Diederik P. Kingma, Max Welling · Foundations and Trends® in Machine Learning · 2,579
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Computational Optimal Transport with Applications to Data Sciences
2019 · Gabriel Peyré, Marco Cuturi · Foundations and Trends® in Machine Learning · 2,322
Graphical Models, Exponential Families, and Variational Inference
2008 · Martin J. Wainwright, Michael I. Jordan · Foundations and Trends® in Machine Learning · 1,820
An Introduction to Deep Reinforcement Learning
2018 · Vincent François-Lavet, Peter Henderson, et al. · Foundations and Trends® in Machine Learning · 1,286
Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
2012 · Sébastien Bubeck, Nicolò Cesa-Bianchi · Foundations and Trends® in Machine Learning · 1,272
Online Learning and Online Convex Optimization
2012 · Shai Shalev-Shwartz · Foundations and Trends® in Machine Learning · 1,246
Convex Optimization: Algorithms and Complexity
2015 · Sébastien Bubeck · Foundations and Trends® in Machine Learning · 1,226
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A Survey of Statistical Network Models
2010 · Anna Goldenberg, Alice X. Zheng, et al. · Foundations and Trends® in Machine Learning · 819
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An Introduction to Matrix Concentration Inequalities
2015 · Joel A. Tropp · Foundations and Trends® in Machine Learning · 792
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Introduction to Multi-Armed Bandits
2019 · Aleksandrs Slivkins · Foundations and Trends® in Machine Learning · 780
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Conformal Prediction: A Gentle Introduction
2023 · Anastasios N. Angelopoulos, Stephen Bates · Foundations and Trends® in Machine Learning · 752
Optimization with Sparsity-Inducing Penalties
2012 · Bach Francis, Rodolphe Jenatton, et al. · Foundations and Trends® in Machine Learning · 730
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Metric Learning: A Survey
2013 · Brian Kulis · Foundations and Trends® in Machine Learning · 674
Adaptation, Learning, and Optimization over Networks
2014 · Ali H. Sayed · Foundations and Trends® in Machine Learning · 668
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Determinantal Point Processes for Machine Learning
2012 · Alex Kulesza, Ben Taskar · Foundations and Trends® in Machine Learning · 630
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An Introduction to Conditional Random Fields
2012 · Charles Sutton, Andrew McCallum · Foundations and Trends® in Machine Learning · 564
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Model-based Reinforcement Learning: A Survey
2023 · Thomas M. Moerland, Joost Broekens, et al. · Foundations and Trends® in Machine Learning · 524
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A Tutorial on Thompson Sampling
2018 · Daniel J. Russo, Benjamin Van Roy, et al. · Foundations and Trends® in Machine Learning · 524
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions
2016 · Andrzej Cichocki, Namgil Lee, et al. · Foundations and Trends® in Machine Learning · 456
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Kernels for Vector-Valued Functions: A Review
2012 · Mauricio A. Álvarez, Lorenzo Rosasco, et al. · Foundations and Trends® in Machine Learning · 415
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Kernel Mean Embedding of Distributions: A Review and Beyond
2017 · Krikamol Muandet, Kenji Fukumizu, et al. · Foundations and Trends® in Machine Learning · 409
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Non-convex Optimization for Machine Learning
2017 · Prateek Jain, Purushottam Kar · Foundations and Trends® in Machine Learning · 359
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Works count: 78
Citation count: 54,910
H-index: 52
I10-index: 71
2yr mean citedness: 26.27
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