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05/22/2023
Squared Neural Families: A New Class of Tractable Density Models
Flexible models for probability distributions are an essential ingredien...
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05/08/2023
Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning
Optimal Transport (OT) is a mathematical framework that first emerged in...
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11/11/2022
Deep equilibrium models as estimators for continuous latent variables
Principal Component Analysis (PCA) and its exponential family extensions...
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10/11/2022
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning
Zero-Shot Learning (ZSL) models aim to classify object classes that are ...
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12/24/2021
Gaussian Process Bandits with Aggregated Feedback
We consider the continuum-armed bandits problem, under a novel setting o...
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02/20/2020
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Analysing and computing with Gaussian processes arising from infinitely ...
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11/29/2019
Richer priors for infinitely wide multi-layer perceptrons
It is well-known that the distribution over functions induced through a ...
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10/19/2018
Exchangeability and Kernel Invariance in Trained MLPs
In the analysis of machine learning models, it is often convenient to as...
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11/24/2017