Manfred K. Warmuth

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Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge Distillation
Ehsan Amid
Rohan Anil
Christopher Fifty
Manfred Warmuth
Transactions on Machine Learning Research, 02/23 (2023)
Rank-smoothed Pairwise Learning in Perceptual Quality Assessment
Ehsan Amid
Hossein Talebi
Manfred K. Warmuth
Peyman Milanfar
(ICIP 2020) 2020 IEEE International Conference on Image Processing (2020)
Adaptive scale-invariant online algorithms for learning linear models
Manfred K. Warmuth
Michal Kempka
Wojciech Kotłowski
(to appear)
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
Ehsan Amid
Manfred K. Warmuth
Rohan Anil
Tomer Koren
Thirty-Third Annual Conference on Neural Information Processing Systems (NeurIPS) (2019)
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least-squares regression
Kenneth L. Clarkson
Manfred K. Warmuth
Michael Mahoney
Michal Derezinski
(to appear)
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