tikhonov regularization

Streamlined Knowledge Distillation CVPR 2026 DEALing with Image Reconstruction: Deep Attentive Least Squares ICML 2025 Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025 Spectral Regularized Kernel Goodness-of-Fit Tests JMLR 2024 Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NeurIPS 2022 Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022 Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints NeurIPS 2022 Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization NeurIPS 2021 Learning the optimal Tikhonov regularizer for inverse problems NeurIPS 2021 Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NeurIPS 2017 Real-time prioritized kinematic control under inequality constraints for redundant manipulators RSS 2011 Classification with Gaussians and Convex Loss JMLR 2009 Infinite-σ Limits For Tikhonov Regularization JMLR 2006 Learning from Examples as an Inverse Problem JMLR 2005