conftrace_

robust estimation

168 papers

Explore in graph

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

Tight and Robust Private Mean Estimation with Few Users ICML 2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures NIPS 2022
Minimax M-estimation under Adversarial Contamination ICML 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
Relative Pose From a Calibrated and an Uncalibrated Smartphone Image CVPR 2022
Maximum Consensus by Weighted Influences of Monotone Boolean Functions CVPR 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NIPS 2022
Learning GMMs with Nearly Optimal Robustness Guarantees COLT 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning ICML 2022
Robust and differentially private mean estimation NIPS 2021
Robustifying Algorithms of Learning Latent Trees with Vector Variables NIPS 2021
Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence WACV 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NIPS 2021
On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021
VSAC: Efficient and Accurate Estimator for H and F ICCV 2021
When OT meets MoM: Robust estimation of Wasserstein Distance AISTATS 2021
Learning with risk-averse feedback under potentially heavy tails AISTATS 2021
Adversarially Robust Estimate and Risk Analysis in Linear Regression AISTATS 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2021
On Robust Mean Estimation under Coordinate-level Corruption ICML 2021
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers AISTATS 2021
BabelCalib: A Universal Approach to Calibrating Central Cameras ICCV 2021