
Emotion Transfer Using VectorValued Infinite Task Learning
Style transfer is a significant problem of machine learning with numerou...
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Handling Hard Affine SDP Shape Constraints in RKHSs
Shape constraints, such as nonnegativity, monotonicity, convexity or su...
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Hard ShapeConstrained Kernel Machines
Shape constraints (such as nonnegativity, monotonicity, convexity) play...
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On Kernel Derivative Approximation with Random Fourier Features
Random Fourier features (RFF) represent one of the most popular and wide...
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InfiniteTask Learning with VectorValued RKHSs
Machine learning has witnessed the tremendous success of solving tasks d...
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MONK  OutlierRobust Mean Embedding Estimation by MedianofMeans
Mean embeddings provide an extremely flexible and powerful tool in machi...
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Characteristic and Universal Tensor Product Kernels
Kernel mean embeddings provide a versatile and powerful nonparametric re...
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A LinearTime Kernel GoodnessofFit Test
We propose a novel adaptive test of goodnessoffit, with computational ...
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An Adaptive Test of Independence with Analytic Kernel Embeddings
A new computationally efficient dependence measure, and an adaptive stat...
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Interpretable Distribution Features with Maximum Testing Power
Two semimetrics on probability distributions are proposed, given as the ...
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Gradientfree Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
We propose Kernel Hamiltonian Monte Carlo (KMC), a gradientfree adaptiv...
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Optimal Rates for Random Fourier Features
Kernel methods represent one of the most powerful tools in machine learn...
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KernelBased JustInTime Learning for Passing Expectation Propagation Messages
We propose an efficient nonparametric strategy for learning a message op...
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Learning Theory for Distribution Regression
We focus on the distribution regression problem: regressing to vectorva...
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Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LLLVM)
We introduce the Locally Linear Latent Variable Model (LLLVM), a probab...
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Twostage Sampled Learning Theory on Distributions
We focus on the distribution regression problem: regressing to a realva...
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Emotional Expression Classification using TimeSeries Kernels
Estimation of facial expressions, as spatiotemporal processes, can take...
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Distributed High Dimensional Information Theoretical Image Registration via Random Projections
Information theoretical measures, such as entropy, mutual information, a...
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Collaborative Filtering via GroupStructured Dictionary Learning
Structured sparse coding and the related structured dictionary learning ...
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Undercomplete Blind Subspace Deconvolution
We introduce the blind subspace deconvolution (BSSD) problem, which is t...
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