conftrace_

robust estimation

168 papers

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Co-occurring keywords

outlier detection (319) robust statistics (102) heavy-tailed distribution (98) mean estimation (70) high-dimensional statistics (145) linear regression (282) homography estimation (73) matrix completion (356) differential privacy (1016) outlier rejection (30)

Papers

BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus ICCV 2023
Tilted Sparse Additive Models ICML 2023
Robust Data Valuation with Weighted Banzhaf Values NIPS 2023
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023
Stochastic Graphical Bandits with Heavy-Tailed Rewards UAI 2023
Online Heavy-tailed Change-point detection UAI 2023
Adaptive Reordering Sampler with Neurally Guided MAGSAC ICCV 2023
Robust Estimation of Discrete Distributions under Local Differential Privacy ALT 2023
A Large-Scale Homography Benchmark CVPR 2023
RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation ICCV 2023
Geodesically convex $M$-estimation in metric spaces COLT 2023
Learning GMMs with Nearly Optimal Robustness Guarantees COLT 2022
Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization PGM 2022
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers NIPS 2022
Unsupervised Anomaly Detection by Robust Density Estimation AAAI 2022
Robust computation of optimal transport by $β$-potential regularization ACML 2022
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis AISTATS 2022
Nearly Optimal Catoni’s M-estimator for Infinite Variance ICML 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NIPS 2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures NIPS 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022
Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning ICML 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NIPS 2022
On the Robustness of CountSketch to Adaptive Inputs ICML 2022