conftrace_

high-dimensional statistics

145 papers

Explore in graph

Co-occurring keywords

sparse regression (175) graphical model (864) high-dimensional regression (142) covariance estimation (98) robust statistics (102) sparse estimation (88) hypothesis testing (254) robust estimation (168) generalized linear model (138) variable selection (146)

Papers

Strong Gaussian Approximation for the Sum of Random Vectors COLT 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022
Robust Sparse Mean Estimation via Sum of Squares COLT 2022
On Learning Mixture Models with Sparse Parameters AISTATS 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022
Tight and Robust Private Mean Estimation with Few Users ICML 2022
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap NIPS 2022
Feature screening with kernel knockoffs AISTATS 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022
Robust Testing in High-Dimensional Sparse Models NIPS 2022
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NIPS 2021
Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression JMLR 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression AISTATS 2021
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions AISTATS 2021
Consistent regression when oblivious outliers overwhelm ICML 2021
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021
High-dimensional Robust Mean Estimation via Gradient Descent ICML 2020
WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020
A Greedy Anytime Algorithm for Sparse PCA COLT 2020
Estimation and Inference with Trees and Forests in High Dimensions COLT 2020
Information theoretic limits of learning a sparse rule NIPS 2020
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020
Estimating Principal Components under Adversarial Perturbations COLT 2020
Generalization Error of Generalized Linear Models in High Dimensions ICML 2020
A Regularization-Based Adaptive Test for High-Dimensional GLMs JMLR 2020