Foundations and Trends in Machine Learning

33.4(top 0.1%)

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29.4K(top 10%)

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38(top 20%)

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61(top 20%)

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Top Articles

#	Title	Journal	Year	Citations
1	Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers	Foundations and Trends in Machine Learning	2010	11,791
2	Learning Deep Architectures for AI	Foundations and Trends in Machine Learning	2009	5,547
3	Graphical Models, Exponential Families, and Variational Inference	Foundations and Trends in Machine Learning	2007	1,196
4	Advances and Open Problems in Federated Learning	Foundations and Trends in Machine Learning	2021	1,156
5	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	Foundations and Trends in Machine Learning	2012	913
6	Computational Optimal Transport: With Applications to Data Science	Foundations and Trends in Machine Learning	2019	909
7	An Introduction to Variational Autoencoders	Foundations and Trends in Machine Learning	2019	863
8	Online Learning and Online Convex Optimization	Foundations and Trends in Machine Learning	2011	856
9	Convex Optimization: Algorithms and Complexity	Foundations and Trends in Machine Learning	2015	618
10	An Introduction to Deep Reinforcement Learning	Foundations and Trends in Machine Learning	2018	527
11	An Introduction to Conditional Random Fields	Foundations and Trends in Machine Learning	2012	517
12	Optimization with Sparsity-Inducing Penalties	Foundations and Trends in Machine Learning	2011	513
13	Metric Learning: A Survey	Foundations and Trends in Machine Learning	2013	510
14	A Survey of Statistical Network Models	Foundations and Trends in Machine Learning	2009	489
15	Adaptation, Learning, and Optimization over Networks	Foundations and Trends in Machine Learning	2014	483
16	Kernels for Vector-Valued Functions: A Review	Foundations and Trends in Machine Learning	2012	346
17	An Introduction to Matrix Concentration Inequalities	Foundations and Trends in Machine Learning	2015	280
18	A Tutorial on Thompson Sampling	Foundations and Trends in Machine Learning	2018	278
19	Determinantal Point Processes for Machine Learning	Foundations and Trends in Machine Learning	2012	271
20	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions	Foundations and Trends in Machine Learning	2016	255
21	Introduction to Multi-Armed Bandits	Foundations and Trends in Machine Learning	2019	233
22	Non-convex Optimization for Machine Learning	Foundations and Trends in Machine Learning	2017	206
23	Dimension Reduction: A Guided Tour	Foundations and Trends in Machine Learning	2009	178
24	Generalized Low Rank Models	Foundations and Trends in Machine Learning	2016	170
25	Kernel Mean Embedding of Distributions: A Review and Beyond	Foundations and Trends in Machine Learning	2017	167
26	Convex Optimization: Algorithms and Complexity	Foundations and Trends in Machine Learning	2015	139
27	Learning with Submodular Functions: A Convex Optimization Perspective	Foundations and Trends in Machine Learning	2013	131
28	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives	Foundations and Trends in Machine Learning	2017	128
29	From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning	Foundations and Trends in Machine Learning	2014	113
30	Backward Simulation Methods for Monte Carlo Statistical Inference	Foundations and Trends in Machine Learning	2013	86
31	Property Testing: A Learning Theory Perspective	Foundations and Trends in Machine Learning	2007	84
32	Randomized Algorithms for Matrices and Data	Foundations and Trends in Machine Learning	2010	82
33	Model-based Reinforcement Learning: A Survey	Foundations and Trends in Machine Learning	2023	76
34	A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning	Foundations and Trends in Machine Learning	2013	74
35	A Survey of Statistical Network Models	Foundations and Trends in Machine Learning	2009	69
36	Theory of Disagreement-Based Active Learning	Foundations and Trends in Machine Learning	2014	66
37	Explaining the Success of Nearest Neighbor Methods in Prediction	Foundations and Trends in Machine Learning	2018	66
38	Dynamical Variational Autoencoders: A Comprehensive Review	Foundations and Trends in Machine Learning	2021	43
39	Spectral Methods for Data Science: A Statistical Perspective	Foundations and Trends in Machine Learning	2021	37
40	Graph Neural Networks for Natural Language Processing: A Survey	Foundations and Trends in Machine Learning	2023	36
41	Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications	Foundations and Trends in Machine Learning	2020	32
42	Learning Representation and Control in Markov Decision Processes: New Frontiers	Foundations and Trends in Machine Learning	2007	29
43	Patterns of Scalable Bayesian Inference	Foundations and Trends in Machine Learning	2016	29
44	Graph Kernels: State-of-the-Art and Future Challenges	Foundations and Trends in Machine Learning	2020	27
45	Data Analytics on Graphs Part I: Graphs and Spectra on Graphs	Foundations and Trends in Machine Learning	2020	25
46	Data Analytics on Graphs Part II: Signals on Graphs	Foundations and Trends in Machine Learning	2020	21
47	Minimum-Distortion Embedding	Foundations and Trends in Machine Learning	2021	18
48	Elements of Sequential Monte Carlo	Foundations and Trends in Machine Learning	2019	16
49	A Unifying Tutorial on Approximate Message Passing	Foundations and Trends in Machine Learning	2022	15
50	Conformal Prediction: A Gentle Introduction	Foundations and Trends in Machine Learning	2023	15

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