2011
COLT
COLT 2011
Minimax Algorithm for Learning Rotations
Abstract
It is unknown what is the most suitable regularization for rotation matrices and how to maintain uncertainty over rotations in an online setting. We propose to address these questions by studying the minimax algorithm for rotations and begin by working out the 2-dimensional case.
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Conference Pioneer
- COLT 2011
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Trend Setter
- Reasoning
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Hot Topic Early Bird
- uncertainty quantification
Authors
Topics
Artificial Intelligence > Core AI > Causal Inference
Machine Learning > Core Methods > Metric Learning
Machine Learning > Optimization & Theory > Bayesian Inference
Machine Learning > Optimization & Theory > Optimization
Artificial Intelligence > Core AI > Reasoning
Machine Learning > Core Methods > Matrix Factorization