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Kernels for Vector-Valued Functions: A Review

Kernels for Vector-Valued Functions: A Review

Mauricio A Lvarez Paperback

$84.50

Learning with Submodular Functions: A Convex Optimization Perspective

Learning with Submodular Functions: A Convex Optimization Perspective

Francis Bach Paperback

$128.95

Elements of Sequential Monte Carlo

Elements of Sequential Monte Carlo

Christian A Naesseth Paperback

$117.00

Minimum-Distortion Embedding

Minimum-Distortion Embedding

Akshay Agrawal Paperback

$128.95

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Andrzej Cichocki Paperback

$128.95

A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists

A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists

Andrea Montanari Paperback

$128.95

Convex Optimization: Algorithms and Complexity

Convex Optimization: Algorithms and Complexity

Sébastien Bubeck Paperback

$123.50

Introduction to Multi-Armed Bandits

Introduction to Multi-Armed Bandits

Aleksandrs Slivkins Paperback

$128.95

Conformal Prediction: A Gentle Introduction

Conformal Prediction: A Gentle Introduction

Anastasios N Angelopoulos Paperback

$104.00

Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats

Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats

Nicolas Guigui Paperback

$128.95

Explaining the Success of Nearest Neighbor Methods in Prediction

Explaining the Success of Nearest Neighbor Methods in Prediction

George H Chen Paperback

$128.95

Non-convex Optimization for Machine Learning

Non-convex Optimization for Machine Learning

Prateek Jain Paperback

$128.95

Spectral Learning on Matrices and Tensors

Spectral Learning on Matrices and Tensors

Majid Janzamin Paperback

$128.95

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Andrzej Cichocki Paperback

$128.95

From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning

From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning

Rémi Munos Paperback

$123.50

Online Learning and Online Convex Optimization

Online Learning and Online Convex Optimization

Shai Shalev-shwartz Paperback

$84.50

Kernel Mean Embedding of Distributions: A Review and Beyond

Kernel Mean Embedding of Distributions: A Review and Beyond

Krikamol Muandet Paperback

$128.95

An Introduction to Conditional Random Fields

An Introduction to Conditional Random Fields

Charles Sutton Paperback

$110.50

Advances And Open Problems In Federated Learning

Advances And Open Problems In Federated Learning

Peter Kairouz Paperback

$128.95

Tensor Regression

Tensor Regression

Jiani Liu Paperback

$128.95

Tutorial on Amortized Optimization

Tutorial on Amortized Optimization

Brandon Amos Paperback

$128.95

Bayesian Reinforcement Learning: A Survey

Bayesian Reinforcement Learning: A Survey

Mohammad Ghavamzadeh Paperback

$123.50

Determinantal Point Processes for Machine Learning

Determinantal Point Processes for Machine Learning

Alex Kulesza Paperback

$128.95

An Introduction to Variational Autoencoders

An Introduction to Variational Autoencoders

Diederik P Kingma Paperback

$97.50