outlier robustness

Dynamic Regret in Outlier-Oblivious Online Optimization using Nonconvex Robust Losses UAI 2026 Outlier-Robust Diffusion Solvers for Inverse Problems CVPR 2026 All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance ICML 2025 GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration AAAI 2025 Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness AISTATS 2025 Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NeurIPS 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Sparse Variational Student-t Processes AAAI 2024 A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation ICLR 2023 Centerless Multi-View K-means Based on the Adjacency Matrix AAAI 2023 On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023 Outlier-Robust Gromov-Wasserstein for Graph Data NeurIPS 2023 Outlier-Robust Subsampling Techniques for Persistent Homology JMLR 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching ICLR 2023 Unbalanced CO-optimal Transport AAAI 2023 The Flag Median and FlagIRLS CVPR 2022 DORO: Distributional and Outlier Robust Optimization ICML 2021 Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021 Uniform Concentration Bounds toward a Unified Framework for Robust Clustering NeurIPS 2021 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021 Choosing the Sample with Lowest Loss makes SGD Robust AISTATS 2020 Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms JMLR 2020 Robust high dimensional learning for Lipschitz and convex losses JMLR 2020 Consensus Maximization for Semantic Region Correspondences CVPR 2018 Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018