I am an Associate Professor in Statistics at the University of Oxford, a Fellow of Mansfield College, an Associate Member of the Oxford-Man Institute, and a Faculty Fellow of the Alan Turing Institute. I conduct research at the interface between machine learning and statistics, with occasional excursions to communications engineering and neuroscience.
Statistical machine learning, reproducing kernel Hilbert spaces, hypothesis testing with big data, measures of association and multivariate interaction, tradeoffs between computational and statistical efficiency, coding and information theory.
May 2016. New papers:
December 22, 2015. Paper K2-ABC: Approximate Bayesian Computation with Kernel Embeddings with M. Park and W. Jitkrittum accepted to AISTATS 2016, as a full oral presentation (6.5% of submissions).
September 4, 2015. Two papers accepted to NIPS 2015:
July 11, 2015. Co-organising workshop Large-Scale Kernel Learning (LSKL) colocated with ICML 2015. We had a fantastic lineup of speakers including Zaid Harchaoui, Marius Kloft, Neil Lawrence, Francis Bach and Ruslan Salakhutdinov. Talk details and slides are available here.
April 7-10, 2015. Attending Dagstuhl seminar on Machine Learning with Interdependent and Non-identically Distributed Data: slides for my talk on hypothesis testing with kernel embeddings on interdependent data.Tweets by @sejDino