Manfred K. Warmuth

11 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• Unbiased estimators for random design regression — Journal of Machine Learning Research 2022
• Reverse Iterative Volume Sampling for Linear Regression — Journal of Machine Learning Research 2018
• Online PCA with Optimal Regret — Journal of Machine Learning Research 2016
• Learning Permutations with Exponential Weights — Journal of Machine Learning Research 2009
• Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension — Journal of Machine Learning Research 2008
• Unlabeled Compression Schemes for Maximum Classes — Journal of Machine Learning Research 2007
• Efficient Margin Maximizing with Boosting — Journal of Machine Learning Research 2005
• Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection — Journal of Machine Learning Research 2005
• Path Kernels and Multiplicative Updates — Journal of Machine Learning Research 2003
• Tracking a Small Set of Experts by Mixing Past Posteriors — Journal of Machine Learning Research 2002
• Tracking the Best Linear Predictor — Journal of Machine Learning Research 2000