sparse estimation

Community-Based Group Graphical Lasso JMLR 2020 EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020 Estimation Rates for Sparse Linear Cyclic Causal Models UAI 2020 Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint L4DC 2020 High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020 High-dimensional quantile tensor regression JMLR 2020 High Dimensional Robust Sparse Regression AISTATS 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020 Sparse and low-rank multivariate Hawkes processes JMLR 2020 Tree-projected gradient descent for estimating gradient-sparse parameters on graphs COLT 2020 High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019 Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 Statistical-Computational Tradeoff in Single Index Models NeurIPS 2019 A Direct Approach for Sparse Quadratic Discriminant Analysis JMLR 2018 Sparse Estimation in Ising Model via Penalized Monte Carlo Methods JMLR 2018 Statistical Sparse Online Regression: A Diffusion Approximation Perspective AISTATS 2018 A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017 A Screening Rule for l1-Regularized Ising Model Estimation NeurIPS 2017 Communication-efficient Distributed Sparse Linear Discriminant Analysis AISTATS 2017 Computationally Efficient Robust Sparse Estimation in High Dimensions COLT 2017 From Bayesian Sparsity to Gated Recurrent Nets NeurIPS 2017 Generalized Conditional Gradient for Sparse Estimation JMLR 2017 Learning Local Dependence In Ordered Data JMLR 2017