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Laurence Aitchison: Deep kernel machines 52:38
📺 Finnish Center for Artificial Intelligence FCAI 👁️ 569 views
Deep Kernel Processes 52:23
📺 UCL Centre for Artificial Intelligence 👁️ 865 views
Deep Kernels 1:10:11
📺 MLG Reading Group 👁️ 3,021 views
CNNpack NIPS 2016 2:54
📺 Chang Xu 👁️ 590 views
CNNpack NIPS 2016 2:56
📺 Yunhe Wang 👁️ 140 views

Stochastic Variational Deep Kernel Learning Nips 2016 Information Guide

  1. Introduction to Stochastic Variational Deep Kernel Learning Nips 2016
  2. Core Information
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Introduction to Stochastic Variational Deep Kernel Learning Nips 2016

Full Stochastic Variational Deep Kernel Learning - NIPS 2016 News
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CNNpack NIPS 2016
CNNpack NIPS 2016
NIPS 2016: Stochastic Structured Prediction under Bandit Feedback
NIPS 2016: Stochastic Structured Prediction under Bandit Feedback
[NIPS 2016] W. Wen, at el, Learning Structured Sparsity in Deep Neural Networks
[NIPS 2016] W. Wen, at el, Learning Structured Sparsity in Deep Neural Networks
CNNpack NIPS 2016
CNNpack NIPS 2016
Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)
Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)
Black-box Stochastic Variational Inference in a Deep Bayesian Neural Network
Black-box Stochastic Variational Inference in a Deep Bayesian Neural Network
NIPS 2016 --- Disease Trajectory Maps Spotlight
NIPS 2016 --- Disease Trajectory Maps Spotlight
NIPS 2016 Spotlight Video
NIPS 2016 Spotlight Video
Variational Inference - Explained
Variational Inference - Explained
Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge (NIPS 2016)
Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge (NIPS 2016)

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Last Updated: August 15, 2026

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