conftrace_

high-dimensional statistics

145 papers

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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

High-dimensional Robust Mean Estimation via Gradient Descent ICML 2020
Estimation and Inference with Trees and Forests in High Dimensions COLT 2020
Rank-based Lasso - efficient methods for high-dimensional robust model selection JMLR 2020
On Learning Ising Models under Huber's Contamination Model NIPS 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NIPS 2020
Phase retrieval in high dimensions: Statistical and computational phase transitions NIPS 2020
Information theoretic limits of learning a sparse rule NIPS 2020
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NIPS 2020
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
High-Dimensional Poisson Structural Equation Model Learning via $\ell_1$-Regularized Regression JMLR 2019
Doubly-Robust Lasso Bandit NIPS 2019
Statistical-Computational Tradeoff in Single Index Models NIPS 2019
On Robustness of Principal Component Regression NIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NIPS 2019
Faster Algorithms for High-Dimensional Robust Covariance Estimation COLT 2019
Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019
Nonuniformity of P-values Can Occur Early in Diverging Dimensions JMLR 2019
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NIPS 2019
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models ICML 2018
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models JMLR 2018
Detection limits in the high-dimensional spiked rectangular model COLT 2018
Learning linear structural equation models in polynomial time and sample complexity AISTATS 2018
On Tight Bounds for the Lasso JMLR 2018