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empirical-risk-minimization

Here are 3 public repositories matching this topic...

statmlben / ensLoss

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification

machine-learning statistics deep-learning neural-network pytorch sgd classification ensemble-learning openml cifar10 loss-functions icml pcam empirical-risk-minimization overfitting-reduced combing surrogate-loss overfitting-prevention icml-2025

Updated Nov 1, 2025
Python

softmin / ReHLine-python

Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

machine-learning optimization quadratic-programming convex-optimization liblinear neurips empirical-risk-minimization neurips-2023

Updated Dec 16, 2025
Python

romain-e-lacoste / sparklen

A statistical learning toolkit for high-dimensional Hawkes processes in Python

python machine-learning statistics optimization regularization maximum-likelihood-estimation high-dimension hawkes-process empirical-risk-minimization

Updated Dec 5, 2025
Python

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