Fetching the paper…
Reading the bibliography…
We propose the discrepancy-based generalization theories for unsupervised domain adaptation.
The Nature of Statistical Learning Theory
V. N. Vapnik · 1995
Earlier work this paper cites.
Statistical learning theory
V. N. Vapnik · 1998
Earlier work this paper cites.
Theory of classification : a survey of some recent advances
S. Boucheron, O. Bousquet, and G. Lugosi · 2005
Earlier work this paper cites.
Bounds for linear multi-task learning
A. Maurer · 2006
Earlier work this paper cites.
Analysis of representations for domain adaptation
S. Ben-David, J. Blitzer, K. Crammer, and F. Pereira · 2007
Earlier work this paper cites.
Covariate shift adaptation by importance weighted cross validation
M. Sugiyama, M. Krauledat, and K.-R. Muller · 2007
Earlier work this paper cites.
Direct importance estimation for covariate shift adaptation
M. Sugiyama, T. Suzuki, S. Nakajima, H. Kashima, P. von Bünau, and M. Kawanabe · 2008
Earlier work this paper cites.
Dataset shift in machine learning
J. Quionero-Candela, M. Sugiyama, A. Schwaighofer, and N. D. Lawrence · 2009
Earlier work this paper cites.
A theory of learning from different domains
S. Ben-David, J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. W. Vaughan · 2010
Earlier work this paper cites.
Learning bounds for importance weighting
C. Cortes, Y. Mansour, and M. Mohri · 2010
Earlier work this paper cites.
On the hardness of domain adaptation and the utility of unlabeled target samples
S. Ben-David and R. Urner · 2012
Earlier work this paper cites.
A kernel two-sample test
A. Gretton, K. Borgwardt, M. Rasch, B. Schölkopf, and A. Smola · 2012
Earlier work this paper cites.
New analysis and algorithm for learning with drifting distributions
M. Mohri and A. M. Medina · 2012
Earlier work this paper cites.
Joint transfer and batch-mode active learning
R. Chattopadhyay, W. Fan, I. Davidson, S. Panchanathan, and J. Ye · 2013
Earlier work this paper cites.
A pac-bayesian approach for domain adaptation with specialization to linear classifiers
P. Germain, A. Habrard, F. Laviolette, and E. Morvant · 2013
Earlier work this paper cites.
Stability and hypothesis transfer learning
I. Kuzborskij and F. Orabona · 2013
Earlier work this paper cites.
A theory of transfer learning with applications to active learning
L. Yang, S. Hanneke, and J. Carbonell · 2013
Cited alongside, same era.
Domain adaptation under target and conditional shift
K. Zhang, B. Schölkopf, K. Muandet, and Z. Wang · 2013
Cited alongside, same era.
Domain adaptation-can quantity compensate for quality?
S. Ben-David and R. Urner · 2014
Cited alongside, same era.
Domain adaptation and sample bias correction theory and algorithm for regression
C. Cortes and M. Mohri · 2014
Cited alongside, same era.
A pac-bayesian bound for lifelong learning
A. Pentina and C. Lampert · 2014
Cited alongside, same era.
Active nearest neighbors in changing environments
C. Berlind and R. Urner · 2015
Cited alongside, same era.
Joint distribution optimal transportation for domain adaptation
N. Courty, R. Flamary, A. Habrard, and A. Rakotomamonjy · 2017
Later among the works it cites.
Optimal transport for domain adaptation
N. Courty, R. Flamary, D. Tuia, and A. Rakotomamonjy · 2017
Later among the works it cites.
Hypothesis transfer learning via transformation functions
S. S. Du, J. Koushik, A. Singh, and B. Poczos · 2017
Later among the works it cites.
Multi-task learning with labeled and unlabeled tasks
A. Pentina and C. H. Lampert · 2017
Later among the works it cites.
Theoretical analysis of domain adaptation with optimal transport
I. Redko, A. Habrard, and M. Sebban · 2017
Later among the works it cites.
Conditional adversarial domain adaptation
M. Long, Z. Cao, J. Wang, and M. I. Jordan · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Adaptation algorithm and theory based on generalized discrepancy
C. Cortes, M. Mohri, and A. Muñoz Medina · 2015
Cited alongside, same era.
A theoretical analysis of metric hypothesis transfer learning
M. l Perrot and A. Habrard · 2015
Cited alongside, same era.
Learning transferable features with deep adaptation networks
M. Long, Y. Cao, J. Wang, and M. I. Jordan · 2015
Cited alongside, same era.
Multi-task and lifelong learning of kernels
A. Pentina and S. Ben-David · 2015
Cited alongside, same era.
Lifelong learning with non-i.i.d. tasks
A. Pentina and C. H. Lampert · 2015
Cited alongside, same era.
Domain-adversarial training of neural networks
Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky · 2016
Cited alongside, same era.
Marginal singularity, and the benefits of labels in covariate-shift
G. Martinet and S. Kpotufe · 2018
Later among the works it cites.
Maximum classifier discrepancy for unsupervised domain adaptation
K. Saito, K. Watanabe, Y. Ushiku, and T. Harada · 2018
Later among the works it cites.
A generalized neyman-pearson criterion for optimal domain adaptation
C. Scott · 2018
Later among the works it cites.
On the value of target data in transfer learning
S. Hanneke and S. Kpotufe · 2019
Later among the works it cites.
Support and invertibility in domain-invariant representations
F. D. Johansson, D. A. Sontag, and R. Ranganath · 2019
Later among the works it cites.
Provable guarantees for gradient-based meta-learning
M. Khodak, M.-F. Balcan, and A. Talwalkar · 2019
Later among the works it cites.
Transferable representation learning with deep adaptation networks
M. Long, Y. Cao, Z. Cao, J. Wang, and M. I. Jordan · 2019
Later among the works it cites.
Bridging theory and algorithm for domain adaptation
Y. Zhang, T. Liu, M. Long, and M. Jordan · 2019
Later among the works it cites.
Understanding and improving information transfer in multi-task learning
S. Wu, H. Zhang, and C. Ré · 2020
Closest in time.