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Regularization

139 papers

Papers per year

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Papers

Regularization techniques for fine-tuning in neural machine translation EMNLP 2017
Split LBI: An Iterative Regularization Path with Structural Sparsity NIPS 2016
On Regularizing Rademacher Observation Losses NIPS 2016
Recurrent Dropout without Memory Loss COLING 2016
Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016
Learning with Incremental Iterative Regularization NIPS 2015
Regularization Path of Cross-Validation Error Lower Bounds NIPS 2015
Altitude Training: Strong Bounds for Single-Layer Dropout NIPS 2014
Structure Regularization for Structured Prediction NIPS 2014
The limits of squared Euclidean distance regularization NIPS 2014
Estimation with Norm Regularization NIPS 2014
On Robustness and Regularization of Structural Support Vector Machines ICML 2014
Estimating LASSO Risk and Noise Level NIPS 2013
Learning with Noisy Labels NIPS 2013
Dropout Training as Adaptive Regularization NIPS 2013
Better Approximation and Faster Algorithm Using the Proximal Average NIPS 2013
A Comparative Framework for Preconditioned Lasso Algorithms NIPS 2013
Understanding Dropout NIPS 2013
Adaptive dropout for training deep neural networks NIPS 2013
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NIPS 2013
Reconciling "priors" & "priors" without prejudice? NIPS 2013
Calibrated Elastic Regularization in Matrix Completion NIPS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Regularized Laplacian Estimation and Fast Eigenvector Approximation NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011