8.1(top 1%)
Impact Factor
12.9(top 1%)
extended IF
36(top 11%)
H-Index
20
authors
49
papers
20.5K
citations
1.9K
citing journals
9.9K
citing authors

Most Cited Articles of Foundations and Trends in Machine Learning

TitleYearCitations
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers20108.4K
Learning Deep Architectures for AI20094.5K
Graphical Models, Exponential Families, and Variational Inference2007950
Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems2012613
Online Learning and Online Convex Optimization2011553
Optimization with Sparsity-Inducing Penalties2011419
An Introduction to Conditional Random Fields2012374
Metric Learning: A Survey2013371
Convex Optimization: Algorithms and Complexity2015368
Computational Optimal Transport: With Applications to Data Science2019363
A Survey of Statistical Network Models2009357
Adaptation, Learning, and Optimization over Networks2014325
An Introduction to Variational Autoencoders2019263
An Introduction to Deep Reinforcement Learning2018232
Kernels for Vector-Valued Functions: A Review2012203
An Introduction to Matrix Concentration Inequalities2015200
Determinantal Point Processes for Machine Learning2012165
Advances and Open Problems in Federated Learning2021164
A Tutorial on Thompson Sampling2018152
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions2016151
Generalized Low Rank Models2016127
Non-convex Optimization for Machine Learning2017119
Dimension Reduction: A Guided Tour2009117
Introduction to Multi-Armed Bandits201994
Convex Optimization: Algorithms and Complexity201594