Multi-task and Transfer Learning Massimiliano Pontil Department of Computer Science Centre for Computational Statistics and Machine Learning University College London

Source URL: mlss.tuebingen.mpg.de

Optimal rates for random Fourier feature kernel approximations∗ Zolt´an Szab´o (Gatsby Unit, University College London)† Abstract: Kernel methods represent one of the most powerful tools in machine learning to tac

Source URL: www.gatsby.ucl.ac.uk

GOOGLE GENERATION RESEARCH AT UNIVERSITY COLLEGE LONDON The virtual revolution is in full swing and it is transforming many aspects of our lives: the ways in which we socialise, shop, entertain ourselves, obtain knowledg

Source URL: ciber-research.eu

William Steptoe* Department of Computer Science University College London London WC1E 6BT UK Acting Rehearsal in Collaborative

Source URL: www0.cs.ucl.ac.uk

• Humancomputer interaction
• Film
• Computing
• Virtual reality
• Emerging technologies
• Xbox One
• New media
• Computer animation
• Kinect
• Immersion
• Motion capture
• Virtual camera system

Learning Theory for Vector-Valued Distribution Regression∗ Zolt´an Szab´o (Gatsby Computational Neuroscience Unit, University College London)† Abstract

Source URL: www.gatsby.ucl.ac.uk

Distributed Gaussian Processes Marc Deisenroth Department of Computing Imperial College London http://wp.doc.ic.ac.uk/sml/marc-deisenroth Gaussian Process Summer School, University of Sheffield

Source URL: www.doc.ic.ac.uk

Performance guarantees for kernel-based learning on probability distributions∗ Zolt´an Szab´o (Gatsby Unit, University College London) Abstract

Source URL: www.gatsby.ucl.ac.uk

A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising Bowei Chen, Shuai Yuan and Jun Wang University College London {bowei.chen, s.yuan, j.wang}cs.ucl.ac.uk

Source URL: yuan-shuai.info

A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation Frank Wood and Yee Whye Teh Gatsby Computational Neuroscience Unit University College London

Source URL: www.stat.columbia.edu

Optimal Rates for the Random Fourier Feature Method∗ Zolt´an Szab´o (Gatsby Unit, University College London) Abstract: Kernel methods represent one of the most powerful tools in machine learning to tackle problems ex

Source URL: www.gatsby.ucl.ac.uk