🏢 University of Warwick

Researchers developed RUM, a refined unlearning meta-algorithm, that significantly improves existing unlearning methods by strategically refining forget sets and employing appropriate unlearning algor…

Researchers unveil a novel algorithm for high-dimensional symmetric linear bandits, achieving a regret bound of O(d^(2/3)T^(2/3)log(d)), surpassing limitations of existing approaches that assume expli…

SARAD: A novel anomaly detection approach for multivariate time series leverages spatial information and association reduction patterns to achieve state-of-the-art performance.

Quasi-Bayesian Vine (QB-Vine) efficiently models high-dimensional densities by recursively updating 1D marginal predictives and a vine copula, significantly outperforming state-of-the-art methods.

PHYSS-GP: a novel physics-informed state-space Gaussian process model for efficient spatio-temporal data modeling, outperforming existing methods in predictive accuracy and computational speed.

Particle Variational Inference (PVI) revolutionizes semi-implicit variational inference by directly optimizing the ELBO using a novel particle approximation, improving efficiency and expressiveness ov…

A novel Common-Points-Picking algorithm efficiently learns stable reward allocations (expected core) in strictly convex stochastic cooperative games with unknown reward distributions, achieving high p…

Elo rating system’s convergence rigorously analyzed via Markov chains under the Bradley-Terry-Luce model, demonstrating competitive learning rates and informing efficient tournament design.