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data-dependent regularization

6 papers

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data dependent regularizer (1) lagrangian reparameterization (1) nondecomposable regularizer (1) aucroc optimization (1) auc roc (1) fbeta measure (1) kernel predictor (1) parameter-free learning (1) neural network (1) unseen domain (1)

Papers

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization ICLR 2021 Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains AAAI 2020 Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018 Generalizing to Unseen Domains via Adversarial Data Augmentation NeurIPS 2018 Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NeurIPS 2014 Maximum Relative Margin and Data-Dependent Regularization JMLR 2010