Skip to content
conftrace_

sparse linear regression

56 papers

SLR

Papers

Robust Testing in High-Dimensional Sparse Models NeurIPS 2022 Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022 The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics NeurIPS 2022 Efficient Statistics for Sparse Graphical Models from Truncated Samples AISTATS 2021 On Learning Continuous Pairwise Markov Random Fields AISTATS 2021 A Knowledge Transfer Framework for Differentially Private Sparse Learning AAAI 2020 Bayesian Model Selection with Graph Structured Sparsity JMLR 2020 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds NeurIPS 2020 Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020 Reducibility and Statistical-Computational Gaps from Secret Leakage COLT 2020 Winnowing with Gradient Descent COLT 2020 Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning IJCAI 2019 On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019 Sample Complexity of Learning Mixture of Sparse Linear Regressions NeurIPS 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019 Online Regression with Partial Information: Generalization and Linear Projection AISTATS 2018 Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NeurIPS 2018 Sparse PCA from Sparse Linear Regression NeurIPS 2018 Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP ICML 2017 Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation NeurIPS 2017 Memory, Communication, and Statistical Queries COLT 2016 Online Sparse Linear Regression COLT 2016 A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015 Minimax rates for memory-bounded sparse linear regression COLT 2015