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03/21/2023
Uniform Risk Bounds for Learning with Dependent Data Sequences
This paper extends standard results from learning theory with independen...
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03/07/2023
Margin theory for the scenario-based approach to robust optimization in high dimension
This paper deals with the scenario approach to robust optimization. This...
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04/16/2019
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses
This paper proposes a simple approach to derive efficient error bounds f...
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12/03/2018
Rademacher Complexity and Generalization Performance of Multi-category Margin Classifiers
One of the main open problems in the theory of multi-category margin cla...
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06/15/2018
On the exact minimization of saturated loss functions for robust regression and subspace estimation
This paper deals with robust regression and subspace estimation and more...
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07/25/2017
Error Bounds for Piecewise Smooth and Switching Regression
The paper deals with regression problems, in which the nonsmooth target ...
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07/18/2017
Global optimization for low-dimensional switching linear regression and bounded-error estimation
The paper provides global optimization algorithms for two particularly d...
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10/23/2015
On the complexity of switching linear regression
This technical note extends recent results on the computational complexi...
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09/08/2015
On the complexity of piecewise affine system identification
The paper provides results regarding the computational complexity of hyb...
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11/22/2013
