Co-occurring keywords · papers mentioning both
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