Michael E. Tipping

23 papers A* 1A 3C 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2021 J jnl
Understanding forecast reconciliation.
Eur. J. Oper. Res.
Ross Hollyman, Fotios Petropoulos, Michael E. Tipping
2013 J jnl
Variational Relevance Vector Machines
CoRR
Christopher M. Bishop, Michael E. Tipping
2005 J jnl
Variational inference for Student-
Neurocomputing
Michael E. Tipping, Neil D. Lawrence
2003 — conf
A variational approach to robust Bayesian interpolation.
NNSP
Michael E. Tipping, Neil D. Lawrence
2003 — conf
Bayesian Inference: An Introduction to Principles and Practice in Machine Learning.
Advanced Lectures on Machine Learning
Michael E. Tipping
2003 A* conf
Bayesian extension to the language model for ad hoc information retrieval.
SIGIR
Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping
2003 A conf
Fast Marginal Likelihood Maximisation for Sparse Bayesian Models.
AISTATS
Michael E. Tipping, Anita C. Faul
2003 J jnl
Use of the Zero-Norm with Linear Models and Kernel Methods.
J. Mach. Learn. Res.
Jason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping
2002 — conf
Bayesian Image Super-Resolution.
NIPS
Michael E. Tipping, Christopher M. Bishop
2001 A conf
A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds.
AISTATS
Michael E. Tipping, Bernhard Schölkopf
2001 C conf
A Variational Approach to Robust Regression.
ICANN
Anita C. Faul, Michael E. Tipping
2001 — conf
Analysis of Sparse Bayesian Learning.
NIPS
Anita C. Faul, Michael E. Tipping
2001 J jnl
Sparse Bayesian Learning and the Relevance Vector Machine.
J. Mach. Learn. Res.
Michael E. Tipping
2000 — conf
Sparse Kernel Principal Component Analysis.
NIPS
Michael E. Tipping
2000 A conf
Variational Relevance Vector Machines.
UAI
Christopher M. Bishop, Michael E. Tipping
1999 J jnl
Mixtures of Probabilistic Principal Component Analysers.
Neural Comput.
Michael E. Tipping, Christopher M. Bishop
1999 — conf
The Relevance Vector Machine.
NIPS
Michael E. Tipping
1998 J jnl
A Hierarchical Latent Variable Model for Data Visualization.
IEEE Trans. Pattern Anal. Mach. Intell.
Christopher M. Bishop, Michael E. Tipping
1998 — conf
Probabilistic Visualisation of High-Dimensional Binary Data.
NIPS
Michael E. Tipping
1998 J jnl
Shadow targets: A novel algorithm for topographic projections by radial basis functions.
Neurocomputing
Michael E. Tipping, David Lowe
1996 J jnl
Feed-Forward Neural Networks and Topographic Mappings for Exploratory Data Analysis.
Neural Comput. Appl.
David Lowe, Michael E. Tipping
1996 — conf
NeuroScale: Novel Topographic Feature Extraction using RBF Networks.
NIPS
David Lowe, Michael E. Tipping
1996 — —
Topographic mappings and feed-forward neural networks.
Michael E. Tipping