Universal Online Optimization in Dynamic Environments via Uniclass Prediction

no code implementations • 13 Feb 2023 • Arnold Salas

Instead, we show that the problem of dynamic online optimization can be reduced to a uniclass prediction problem.

Practical Bayesian Learning of Neural Networks via Adaptive Optimisation Methods

1 code implementation • 8 Nov 2018 • Samuel Kessler, Arnold Salas, Vincent W. C. Tan, Stefan Zohren, Stephen Roberts

We introduce a novel framework for the estimation of the posterior distribution over the weights of a neural network, based on a new probabilistic interpretation of adaptive optimisation algorithms such as AdaGrad and Adam.

Multi-Armed Bandits Thompson Sampling

A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression

no code implementations • 8 Sep 2015 • Arnold Salas, Stephen J. Roberts, Michael A. Osborne

Online Passive-Aggressive (PA) learning is a class of online margin-based algorithms suitable for a wide range of real-time prediction tasks, including classification and regression.

General Classification regression +1