regularization

Roping in Uncertainty: Robustness and Regularization in Markov Games ICML 2024 Slicing Mutual Information Generalization Bounds for Neural Networks ICML 2024 Sobolev Space Regularised Pre Density Models ICML 2024 Supervised Matrix Factorization: Local Landscape Analysis and Applications ICML 2024 Transferring Knowledge From Large Foundation Models to Small Downstream Models ICML 2024 TriNeRFLet: A Wavelet Based Triplane NeRF Representation ECCV 2024 Shapley Explanation Networks ICLR 2021 Adaptive Dropout with Rademacher Complexity Regularization ICLR 2018 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014 Dirty Statistical Models NeurIPS 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 Multi-Task Averaging NeurIPS 2012 Volume Regularization for Binary Classification NeurIPS 2012 Improving Topic Coherence with Regularized Topic Models NeurIPS 2011 Optimal learning rates for least squares SVMs using Gaussian kernels NeurIPS 2011 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NeurIPS 2010 Regularized estimation of image statistics by Score Matching NeurIPS 2010 Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NeurIPS 2010 Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 Asymptotically Optimal Regularization in Smooth Parametric Models NeurIPS 2009 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NeurIPS 2008 Privacy-preserving logistic regression NeurIPS 2008