Zoltán Szabó

Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages

2015 · arXiv (Cornell University)

We propose an efficient nonparametric strategy for learning a message operator in expectation propagation (EP), which takes as input the set of incoming messages to a factor node, and produces an outgoing message as output. …

Software system for newspaper distribution

2015

The paper presents a software system for newspaper distribution. The system contains a central server, an Android client application and a web application for data administration. Application data (customer database, distributor profiles, distributions, etc.) is …

Performance guarantees for kernel-based learning on probability distributions

2016 · UCL Discovery (University College London)

In this talk I will present a novel result concerning the theory of distribution regression (DR). The DR problem addresses regression to vector-valued outputs from probability measures. Many important machine learning and statistical tasks fit …