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03/28/2023
Sparse Gaussian Processes with Spherical Harmonic Features Revisited
We revisit the Gaussian process model with spherical harmonic features a...
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05/27/2022
Double Deep Q Networks for Sensor Management in Space Situational Awareness
We present a novel Double Deep Q Network (DDQN) application to a sensor ...
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08/26/2021
Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
Modern methods for learning from data depend on many tuning parameters, ...
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07/27/2021
Stability Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
We revisit on-average algorithmic stability of Gradient Descent (GD) for...
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01/13/2021
Learning with Gradient Descent and Weakly Convex Losses
We study the learning performance of gradient descent when the empirical...
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07/01/2020
Decentralised Learning with Random Features and Distributed Gradient Descent
We investigate the generalisation performance of Distributed Gradient De...
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06/11/2020
Asymptotics of Ridge(less) Regression under General Source Condition
We analyze the prediction performance of ridge and ridgeless regression ...
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12/03/2019
Decentralised Sparse Multi-Task Regression
We consider a sparse multi-task regression framework for fitting a colle...
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05/08/2019
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
We analyse the learning performance of Distributed Gradient Descent in t...
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09/18/2018