adaptive regularization

Gated KalmaNet: A Fading Memory Layer through Test-time Ridge Regression CVPR 2026 APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning AAAI 2025 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization CVPR 2025 Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms ICML 2025 Combining Axes Preconditioners through Kronecker Approximation for Deep Learning ICLR 2024 Online decision making with history-average dependent costs L4DC 2024 Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems NeurIPS 2024 Stochastic Weakly Convex Optimization beyond Lipschitz Continuity ICML 2024 Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions NeurIPS 2023 Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime ICML 2022 Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022 Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization ICLR 2021 Minimax Estimation of Laplacian Constrained Precision Matrices AISTATS 2021 Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction CVPR 2019 Efficient Full-Matrix Adaptive Regularization ICML 2019 Learning Neural Networks with Adaptive Regularization NeurIPS 2019 Streaming kernel regression with provably adaptive mean, variance, and regularization JMLR 2018 Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NeurIPS 2017 Accelerating Online Convex Optimization via Adaptive Prediction AISTATS 2016 Dropout Training as Adaptive Regularization NeurIPS 2013 Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 Adaptive Regularization of Weight Vectors NeurIPS 2009