Michael E. Tipping

According to our database, Michael E. Tipping authored at least 22 papers between 1996 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Understanding forecast reconciliation.

Ross Hollyman, Fotios Petropoulos, Michael E. Tipping

Eur. J. Oper. Res., 2021

2005

Variational inference for Student-<i>t</i> models: Robust Bayesian interpolation and generalised component analysis.

Michael E. Tipping, Neil D. Lawrence

Neurocomputing, 2005

2003

Use of the Zero-Norm with Linear Models and Kernel Methods.

Jason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping

J. Mach. Learn. Res., 2003

Bayesian extension to the language model for ad hoc information retrieval.

Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping

Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

A variational approach to robust Bayesian interpolation.

Michael E. Tipping, Neil D. Lawrence

Proceedings of the NNSP 2003, 2003

Fast Marginal Likelihood Maximisation for Sparse Bayesian Models.

Michael E. Tipping, Anita C. Faul

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Bayesian Inference: An Introduction to Principles and Practice in Machine Learning.

Michael E. Tipping

Proceedings of the Advanced Lectures on Machine Learning, 2003

2002

Bayesian Image Super-Resolution.

Michael E. Tipping, Christopher M. Bishop

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Sparse Bayesian Learning and the Relevance Vector Machine.

Michael E. Tipping

J. Mach. Learn. Res., 2001

Analysis of Sparse Bayesian Learning.

Anita C. Faul, Michael E. Tipping

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A Variational Approach to Robust Regression.

Anita C. Faul, Michael E. Tipping

Proceedings of the Artificial Neural Networks, 2001

A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds.

Michael E. Tipping, Bernhard Schölkopf

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

Variational Relevance Vector Machines.

Christopher M. Bishop, Michael E. Tipping

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Sparse Kernel Principal Component Analysis.

Michael E. Tipping

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Mixtures of Probabilistic Principal Component Analysers.

Michael E. Tipping, Christopher M. Bishop

Neural Comput., 1999

The Relevance Vector Machine.

Michael E. Tipping

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

A Hierarchical Latent Variable Model for Data Visualization.

Christopher M. Bishop, Michael E. Tipping

IEEE Trans. Pattern Anal. Mach. Intell., 1998

Shadow targets: A novel algorithm for topographic projections by radial basis functions.

Michael E. Tipping, David Lowe

Neurocomputing, 1998

Probabilistic Visualisation of High-Dimensional Binary Data.

Michael E. Tipping

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1996

Topographic mappings and feed-forward neural networks.

Michael E. Tipping

PhD thesis, 1996

Feed-Forward Neural Networks and Topographic Mappings for Exploratory Data Analysis.

David Lowe, Michael E. Tipping

Neural Comput. Appl., 1996

NeuroScale: Novel Topographic Feature Extraction using RBF Networks.

David Lowe, Michael E. Tipping

Proceedings of the Advances in Neural Information Processing Systems 9, 1996