Co-occurring keywords · papers mentioning both
Papers
Optimal Bounds for Tyler’s M-Estimator for Elliptical Distributions
ALT 2026
Robust Mean Estimation Without Moments for Symmetric Distributions
NeurIPS 2023
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
NeurIPS 2020
Prediction regions through Inverse Regression
JMLR 2020
Rigorous Guarantees for Tyler’s M-Estimator via Quantum Expansion
COLT 2020
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold
AAAI 2020
Elliptical Perturbations for Differential Privacy
NeurIPS 2019
Globally Optimal Learning for Structured Elliptical Losses
NeurIPS 2019
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
NeurIPS 2018
Importance Weighting and Variational Inference
NeurIPS 2018
Semiparametric Differential Graph Models
NeurIPS 2016
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model
NeurIPS 2013
Sparse Inverse Covariance Estimation with Calibration
NeurIPS 2013
Transelliptical Component Analysis
NeurIPS 2012