3 papers
cs.LG2026
LLM Flow Processes for Text-Conditioned Regression
Felix Biggs, Samuel Willis
Recent work has demonstrated surprisingly good performance of pre-trained LLMs on regression tasks (for example, time-series prediction), with the ability to incorporate expert pri…
stat.ML2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Felix Biggs, Antonin Schrab, Arthur Gretton
We propose novel statistics which maximise the power of a two-sample test based on the Maximum Mean Discrepancy (MMD), by adapting over the set of kernels used in defining it. For…
cs.LG2022
A Note on the Efficient Evaluation of PAC-Bayes Bounds
Felix Biggs
When utilising PAC-Bayes theory for risk certification, it is usually necessary to estimate and bound the Gibbs risk of the PAC-Bayes posterior. Many works in the literature employ…