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Dataset Shift in Machine Learning
Quinonero-Candela, Joaquin, Sugiyama, Masashi, Schwaighofer, Anton, Lawrence, Neil D
Year of Publication 2008
Year of Publication 2008
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eBook
Book
Convex Optimization with Sparsity-Inducing Norms
Bach, Francis, Jenatton, Rodolphe, Mairal, Julien, Obozinski, Guillaume
Published in Optimization for Machine Learning (30.09.2011)
Published in Optimization for Machine Learning (30.09.2011)
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Book Chapter
Adversarial Perturbations of Deep Neural Networks
Published in Perturbations, Optimization, and Statistics
(23.12.2016)
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Book Chapter
Practical Applications of Sparse Modeling
Rish, Irina, Cecchi, Guillermo A, Lozano, Aurélie Chloé, Niculescu-Mizil, Alexandru
Year of Publication 2014
Year of Publication 2014
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eBook
Book
Advanced Structured Prediction
Nowozin, Sebastian, Gehler, Peter V., Jancsary, Jeremy, Lampert, Christoph H.
Year of Publication 2014
Year of Publication 2014
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eBook
Book
Perturbation Techniques in Online Learning and Optimization
Published in Perturbations, Optimization, and Statistics
(23.12.2016)
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Book Chapter
A Poisson Process Model for Monte Carlo
Published in Perturbations, Optimization, and Statistics
(23.12.2016)
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Book Chapter
Perturbation Models and PAC-Bayesian Generalization Bounds
Published in Perturbations, Optimization, and Statistics
(23.12.2016)
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Book Chapter
Factorizing Shortest Paths with Randomized Optimum Models
Published in Perturbations, Optimization, and Statistics
(23.12.2016)
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Book Chapter