Regularization

Learning Pareto manifolds in high dimensions: How can regularization help? AISTATS 2025 Parabolic Continual Learning AISTATS 2025 Strong Screening Rules for Group-based SLOPE Models AISTATS 2025 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 Path following algorithms for ℓ_2-regularized M-estimation with approximation guarantee NeurIPS 2023 Learning the optimal Tikhonov regularizer for inverse problems NeurIPS 2021 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NeurIPS 2010 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009