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04/28/2023
Generalization for slowly mixing processes
A bound uniform over various loss-classes is given for data generated by...
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07/07/2022
Exponential finite sample bounds for incomplete U-statistics
Incomplete U-statistics have been proposed to accelerate computation. Th...
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06/04/2022
Concentration of the missing mass in metric spaces
We study the estimation of the probability to observe data further than ...
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05/27/2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
We study a class of dynamical systems modelled as Markov chains that adm...
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02/11/2021
Some Hoeffding- and Bernstein-type Concentration Inequalities
We prove concentration inequalities for functions of independent random ...
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12/14/2020
A Perturbation Resilient Framework for Unsupervised Learning
Designing learning algorithms that are resistant to perturbations of the...
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06/25/2019
Learning Fair and Transferable Representations
Developing learning methods which do not discriminate subgroups in the p...
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02/05/2019
Uniform concentration and symmetrization for weak interactions
The method to derive uniform bounds with Gaussian and Rademacher complex...
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03/11/2018
Empirical bounds for functions with weak interactions
We provide sharp empirical estimates of expectation, variance and normal...
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06/05/2016
Bounds for Vector-Valued Function Estimation
We present a framework to derive risk bounds for vector-valued learning ...
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05/01/2016
A vector-contraction inequality for Rademacher complexities
The contraction inequality for Rademacher averages is extended to Lipsch...
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05/23/2015
The Benefit of Multitask Representation Learning
We discuss a general method to learn data representations from multiple ...
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02/08/2014
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning
From concentration inequalities for the suprema of Gaussian or Rademache...
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12/06/2012
Excess risk bounds for multitask learning with trace norm regularization
Trace norm regularization is a popular method of multitask learning. We ...
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09/04/2012
Sparse coding for multitask and transfer learning
We investigate the use of sparse coding and dictionary learning in the c...
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08/17/2011
