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Gaussian Process : Deep Gaussian Process – Warped Gaussian Process -Additive Kernel

  • The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors
  • Warped Gaussian Processes Occupancy Mapping with Uncertain Inputs
  • Warped Gaussian Processes
  • Manifold Gaussian Processes for Regression
  • Sparse Gaussian Processes using Pseudo-inputs
  • Deep Gaussian Processes
  • Chained Gaussian Processes
  • Student-t Processes as Alternatives to Gaussian Processe
  • Introduction to Gaussian Process
  • Additive Gaussian Processes
  • ACCURACY VERSUS INTERPRETABILITY IN FLEXIBLE MODELING : IMPLEMENTING A TRADEOFF USING GAUSSIAN PROCESS MODELS
  • Gaussian Processes for Global Optimization
  • AN ADDITIVE GLOBAL AND LOCAL GAUSSIAN PROCESS MODEL FOR LARGE DATA SETS
  • A Unifying View of Sparse Approximate Gaussian Process Regression
  • COMPOSITE GAUSSIAN PROCESS MODELS FOR EMULATING EXPENSIVE FUNCTIONS
  • Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
  • WiFi-SLAM Using Gaussian Process Latent Variable Models
  • Local and global sparse Gaussian process approximations
  • Deep Kernel Learning
  • Gaussian processes autoencoder for dimensionality reduction
  • Scalable Gaussian Process Regression Using Deep Neural Networks
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ANDREW NG
Daniel McDuff – MIT Media Lab
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