total variation

Projected Robust PCA with Application to Smooth Image Recovery JMLR 2022 Tracking Most Significant Arm Switches in Bandits COLT 2022 Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement ICCV 2021 Approximating a Distribution Using Weight Queries ICML 2021 Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors CVPR 2021 Inferring serial correlation with dynamic backgrounds ICML 2021 Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021 Optimal Dynamic Regret in Exp-Concave Online Learning COLT 2021 Adaptive Rates for Total Variation Image Denoising JMLR 2020 A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding NeurIPS 2020 Bessel Smoothing and Multi-Distribution Property Estimation COLT 2020 Deeply Learned Spectral Total Variation Decomposition NeurIPS 2020 Extrapolating the profile of a finite population COLT 2020 Learning to solve TV regularised problems with unrolled algorithms NeurIPS 2020 Minimizing Discrete Total Curvature for Image Processing CVPR 2020 A Higher-Order Kolmogorov-Smirnov Test AISTATS 2019 A Representer Theorem for Deep Neural Networks JMLR 2019 Estimating Convergence of Markov chains with L-Lag Couplings NeurIPS 2019 Fast Decomposable Submodular Function Minimization using Constrained Total Variation NeurIPS 2019 Minimax Learning of Ergodic Markov Chains ALT 2019 Online Forecasting of Total-Variation-bounded Sequences NeurIPS 2019 A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors CVPR 2017 Attributing Hacks AISTATS 2017 Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NeurIPS 2017 Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities COLT 2017