Foundations and trends in machine learning

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Paper

Material Type: 図書
Title: Foundations and trends in machine learning
Publication, Distribution, etc.: now Publishers
Place of Publication (Country Code): us
Target Audience: 一般
Related Material: Bayesian Reinforcement Learning: A Survey
https://cir.nii.ac.jp/crid/1130000793792662528
Learning deep architectures for AI
https://cir.nii.ac.jp/crid/1130000794207596160
Kernel mean embedding of distributions: a review and beyond
https://cir.nii.ac.jp/crid/1130000795109970304
Graphical models, exponential families, and variational inference
https://cir.nii.ac.jp/crid/1130000795289965440
An introduction to deep reinforcement learning
https://cir.nii.ac.jp/crid/1130000795947178880
Regret analysis of stochastic and nonstochastic multi-armed bandit problems
https://cir.nii.ac.jp/crid/1130000796312996736
An introduction to Wishart matrix moments
https://cir.nii.ac.jp/crid/1130000796609135104
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning
https://cir.nii.ac.jp/crid/1130000797916832000
Non-convex optimization for machine learning
https://cir.nii.ac.jp/crid/1130282269170740224
A survey of statistical network models
https://cir.nii.ac.jp/crid/1130282269249024256
Learning representation and control in Markov decision processes : new frontiers
https://cir.nii.ac.jp/crid/1130282269538840192
Property testing : a learning theory perspective
https://cir.nii.ac.jp/crid/1130282269702949120
Computational optimal transport : with applications to data sciences
https://cir.nii.ac.jp/crid/1130282271964855168
Distributed optimization and statistical learning via the alternating direction method of multipliers
https://cir.nii.ac.jp/crid/1130282272048620288
Determinantal point processes for machine learning
https://cir.nii.ac.jp/crid/1130282272224430336
An introduction to matrix concentration inequalities
https://cir.nii.ac.jp/crid/1130282272451480704
Convex optimization : algorithms and complexity
https://cir.nii.ac.jp/crid/1130282272486687872
Learning with submodular functions : a convex optimization perspective
https://cir.nii.ac.jp/crid/1130282272520121728
Kernels for vector-valued functions : a review
https://cir.nii.ac.jp/crid/1130282272994292864
A unifying tutorial on approximate message passing
https://cir.nii.ac.jp/crid/1130579587791686918
From bandits to monte-carlo tree search : the optimistic principle applied to optimization and planning
https://cir.nii.ac.jp/crid/1130848328588960384
Low-rank tensor decompositions
https://cir.nii.ac.jp/crid/1131131629081529731
Applications and future perspectives
https://cir.nii.ac.jp/crid/1131976053803637127
Related Material (URI): https://ci.nii.ac.jp/ncid/BA91122263#entity
Data Provider (Database): 国立情報学研究所 : CiNii Research
Original Data Provider (Database): CiNii Books
https://ci.nii.ac.jp/books
NCID: https://ci.nii.ac.jp/ncid/BA91122263 : BA91122263