Search Machine Learning Repository:
All publications by Tom Heskes
authors venues years



On Causal Discovery with Cyclic Additive Noise Models
Joris M. Mooij, Dominik Janzing, Tom Heskes and Bernhard Schölkopf
Advances in Neural Information Processing Systems 24, 2011


Causal discovery in multiple models from different experiments
Tom Claassen and Tom Heskes
Advances in Neural Information Processing Systems 23, 2010


Improving posterior marginal approximations in latent Gaussian models
Botond Cseke and Tom Heskes
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Bayesian Source Localization with the Multivariate Laplace Prior
Marcel V. Gerven, Botond Cseke, Robert Oostenveld and Tom Heskes
Advances in Neural Information Processing Systems 22, 2009


Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach
José M. Hernández-lobato, Tjeerd Dijkstra and Tom Heskes
Advances in Neural Information Processing Systems 20, 2007


Change Point Problems in Linear Dynamical Systems
Onno Zoeter and Tom Heskes
Journal of Machine Learning Research, 2005


Approximate Expectation Maximization
Tom Heskes, Onno Zoeter and Wim Wiegerinck
Advances in Neural Information Processing Systems 16, 2003


Task Clustering and Gating for Bayesian Multitask Learning
Bart Bakker and Tom Heskes
Journal of Machine Learning Research, 2003


Fractional Belief Propagation
Wim Wiegerinck and Tom Heskes
Advances in Neural Information Processing Systems 15, 2002


Stable Fixed Points of Loopy Belief Propagation Are Local Minima of the Bethe Free Energy
Tom Heskes
Advances in Neural Information Processing Systems 15, 2002