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11/03/2022
Isotropic Gaussian Processes on Finite Spaces of Graphs
We propose a principled way to define Gaussian process priors on various...
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10/25/2022
A Dynamical System View of Langevin-Based Non-Convex Sampling
Non-convex sampling is a key challenge in machine learning, central to n...
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06/14/2022
The Dynamics of Riemannian Robbins-Monro Algorithms
Many important learning algorithms, such as stochastic gradient methods,...
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10/19/2020
Online Active Model Selection for Pre-trained Classifiers
Given k pre-trained classifiers and a stream of unlabeled data examples,...
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11/05/2017
Stochastic Submodular Maximization: The Case of Coverage Functions
Stochastic optimization of continuous objectives is at the heart of mode...
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05/22/2016