total variation

Statistical guarantees for denoising reflected diffusion models JMLR 2026 A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis AISTATS 2025 Density Estimation Using the Perceptron JMLR 2025 Learning general Gaussian mixtures with efficient score matching COLT 2025 Lower Bounds for Time-Varying Kernelized Bandits AISTATS 2025 Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising ICCV 2025 Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization ICLR 2025 Quantile Additive Trend Filtering AISTATS 2025 Tamed Langevin sampling under weaker conditions AISTATS 2025 Assist Is Just As Important as the Goal: Image Resurfacing To Aid Model's Robust Prediction WACV 2024 HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models CVPR 2024 Invariant Risk Minimization Is A Total Variation Model ICML 2024 Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning ICML 2024 Model-Free Robust Reinforcement Learning with Sample Complexity Analysis UAI 2024 Predictive Linear Online Tracking for Unknown Targets ICML 2024 Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NeurIPS 2024 Total Variation Floodgate for Variable Importance Inference in Classification ICML 2024 Towards Squeezing-Averse Virtual Try-On via Sequential Deformation AAAI 2024 An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023 Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time NeurIPS 2023 Deep Random Projector: Accelerated Deep Image Prior CVPR 2023 Learning a 1-layer conditional generative model in total variation NeurIPS 2023 Total Variation Graph Neural Networks ICML 2023 TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning ICLR 2023 Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond AISTATS 2022