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high-dimensional estimation

43 papers

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Co-occurring keywords

gaussian graphical model (106) graphical model (864) approximate message passing (39) high-dimensional statistics (145) convex optimization (1321) sparse optimization (246) sparse estimation (88) inverse covariance matrix (13) alternating direction method (35) linear convergence (158)

Papers

Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023
Mixed Linear Regression via Approximate Message Passing AISTATS 2023
Acceleration in Distributed Sparse Regression NIPS 2022
Streaming Algorithms for High-Dimensional Robust Statistics ICML 2022
Spiked Covariance Estimation from Modulo-Reduced Measurements AISTATS 2022
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting JMLR 2022
Entropy Estimation via Normalizing Flow AAAI 2022
Efficient Statistics for Sparse Graphical Models from Truncated Samples AISTATS 2021
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NIPS 2021
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NIPS 2021
Approximate Message Passing with Spectral Initialization for Generalized Linear Models AISTATS 2021
On Learning Ising Models under Huber's Contamination Model NIPS 2020
Multi-level Gaussian Graphical Models Conditional on Covariates AISTATS 2020
Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models JMLR 2020
Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019
Estimation of Graphical Models through Structured Norm Minimization JMLR 2018
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models JMLR 2018
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure AISTATS 2018
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018
Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis NIPS 2018
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation AISTATS 2018
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems NIPS 2017
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NIPS 2017