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outlier robustness

30 papers

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Co-occurring keywords

outlier detection (319) bayesian inference (1907) robust regression (79) distributionally robust optimization (185) variational inference (2069) robust optimization (307) grassmann manifold (32) outlier handling (32) boosting algorithm (78) loss function (462)

Papers

GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration AAAI 2025
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NIPS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Sparse Variational Student-t Processes AAAI 2024
Unbalanced CO-optimal Transport AAAI 2023
Centerless Multi-View K-means Based on the Adjacency Matrix AAAI 2023
Outlier-Robust Subsampling Techniques for Persistent Homology JMLR 2023
Outlier-Robust Gromov-Wasserstein for Graph Data NIPS 2023
On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023
The Flag Median and FlagIRLS CVPR 2022
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021
Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021
DORO: Distributional and Outlier Robust Optimization ICML 2021
Robust high dimensional learning for Lipschitz and convex losses JMLR 2020
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms JMLR 2020
Choosing the Sample with Lowest Loss makes SGD Robust AISTATS 2020
Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018
Variational Inference based on Robust Divergences AISTATS 2018
Consensus Maximization for Semantic Region Correspondences CVPR 2018
Angle Principal Component Analysis IJCAI 2017
Student-t Process Regression with Student-t Likelihood IJCAI 2017
Self-paced Mixture of Regressions IJCAI 2017
Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017
Minimizing the Maximal Loss: How and Why ICML 2016
A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015