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stat.ML2025
A Dual Optimization View to Empirical Risk Minimization with f-Divergence Regularization
Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza
The dual formulation of empirical risk minimization with f-divergence regularization (ERM-fDR) is introduced. The solution of the dual optimization problem to the ERM-fDR is connec…
stat.ML2025
Generalization Error of -Divergence Stabilized Algorithms via Duality
Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza +1
The solution to empirical risk minimization with -divergence regularization (ERM-DR) is extended to constrained optimization problems, establishing conditions for equivalence…