high-dimensional statistics

Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap NeurIPS 2022 Tight and Robust Private Mean Estimation with Few Users ICML 2022 Consistent regression when oblivious outliers overwhelm ICML 2021 Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions AISTATS 2021 Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression JMLR 2021 Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NeurIPS 2021 Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation ICML 2021 Rank-one matrix estimation: analytic time evolution of gradient descent dynamics COLT 2021 Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021 Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression AISTATS 2021 Agnostic Estimation for Phase Retrieval JMLR 2020 A Greedy Anytime Algorithm for Sparse PCA COLT 2020 Approximate Cross-Validation in High Dimensions with Guarantees AISTATS 2020 A Regularization-Based Adaptive Test for High-Dimensional GLMs JMLR 2020 Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices COLT 2020 Estimating Principal Components under Adversarial Perturbations COLT 2020 Estimation and Inference with Trees and Forests in High Dimensions COLT 2020 Generalization Error of Generalized Linear Models in High Dimensions ICML 2020 High-dimensional Robust Mean Estimation via Gradient Descent ICML 2020 Information theoretic limits of learning a sparse rule NeurIPS 2020 On Learning Ising Models under Huber's Contamination Model NeurIPS 2020 Phase retrieval in high dimensions: Statistical and computational phase transitions NeurIPS 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020 Rank-based Lasso - efficient methods for high-dimensional robust model selection JMLR 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020