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Fast Rates by Transferring from Auxiliary Hypotheses

Fast Rates by Transferring from Auxiliary Hypotheses

4 December 2014
Ilja Kuzborskij
Francesco Orabona
ArXivPDFHTML

Papers citing "Fast Rates by Transferring from Auxiliary Hypotheses"

6 / 6 papers shown
Title
Theoretical Models of Learning to Learn
Theoretical Models of Learning to Learn
Jonathan Baxter
33
724
0
27 Feb 2020
One-Shot Adaptation of Supervised Deep Convolutional Models
One-Shot Adaptation of Supervised Deep Convolutional Models
Judy Hoffman
Eric Tzeng
Jeff Donahue
Yangqing Jia
Kate Saenko
Trevor Darrell
OOD
78
79
0
21 Dec 2013
Optimistic Rates for Learning with a Smooth Loss
Optimistic Rates for Learning with a Smooth Loss
Nathan Srebro
Karthik Sridharan
Ambuj Tewari
153
282
0
20 Sep 2010
Regularization Techniques for Learning with Matrices
Regularization Techniques for Learning with Matrices
Sham Kakade
Shai Shalev-Shwartz
Ambuj Tewari
111
211
0
04 Oct 2009
Frustratingly Easy Domain Adaptation
Frustratingly Easy Domain Adaptation
Hal Daumé
114
1,799
0
10 Jul 2009
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
288
798
0
19 Feb 2009
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