Fetching the paper…
Reading the bibliography…
We investigate the use of sparse coding and dictionary learning in the context of multitask and transfer learning.
The one-sided barrier problem for gaussian noise
Slepian, D · 1962
Earlier work this paper cites.
Probability in Banach Spaces
Ledoux, M. and Talagrand, M · 1991
Earlier work this paper cites.
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Olshausen, B.A. and Field, D.J · 1996
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
Tibshirani, R · 1996
Earlier work this paper cites.
Multi-task learning
Caruana, R · 1997
Earlier work this paper cites.
Probabilistic Methods of Algorithmic Discrete Mathematics
McDiarmid, C · 1998
Earlier work this paper cites.
Learning to Learn
Thrun, S. and Pratt, L · 1998
Earlier work this paper cites.
A model for inductive bias learning
Baxter, J · 2000
Earlier work this paper cites.
Rademacher and gaussian complexities: risk bounds and structural results
Bartlett, P.L. and Mendelson, S · 2002
Cited alongside, same era.
Empirical margin distributions and bounding the generalization error of combined classifiers
Koltchinskii, V. and Panchenko, D · 2002
Cited alongside, same era.
Exploiting task relatedness for multiple task learning
Ben-David, S. and Schuller, R · 2003
Cited alongside, same era.
Ando, R.K. and Zhang, T. A framework for learning predictive structures from multiple tasks and unlabeled data. J. of Machine Learning Research
2005
Cited alongside, same era.
Learning multiple tasks with kernel methods
Evgeniou, T., Micchelli, C.A., and Pontil, M · 2005
Cited alongside, same era.
Signal recovery by proximal forward-backward splitting
Combettes, P.L. and Wajs, V.R · 2006
Argyriou, A., Maurer, A., and Pontil, M. An algorithm for transfer learning in a heterogeneous environment. Proc. European Conf. Machine Learning
2008
Later among the works it cites.
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
Beck, A. and Teboulle, M · 2009
Later among the works it cites.
Transfer bounds for linear feature learning
Maurer, A · 2009
Later among the works it cites.
K-dimensional coding schemes in Hilbert spaces
Maurer, A. and Pontil, M · 2010
Later among the works it cites.
Statistics for High-Dimensional Data: Methods, Theory and Applications
Bühlmann, P. and van de Geer, S · 2011
Later among the works it cites.
Proximal methods for hierarchical sparse coding
Jenatton, R., Mairal, J., Obozinski, G., and Bach, F · 2011
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Concentration inequalities for functions of independent variables
Maurer, A · 2006
Cited alongside, same era.
Argyriou, A., Evgeniou, T., and Pontil, M. Convex multi-task feature learning. Machine Learning
2008
Cited alongside, same era.
Lounici, K., Pontil, M., Tsybakov, A.B. and van de Geer, S. Oracle inequalities and optimal inference under group sparsity Annals of Statistics
2011
Later among the works it cites.
Learning task grouping and overlap in multitask learning
Kumar, A. and Daumé III, H · 2012
Closest in time.