high-dimensional estimation

High-dimensional Parameter Transfer With Fused-Regularizer JMLR 2026 Estimation of Large Zipfian Distributions with Sort and Snap AISTATS 2025 Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches JMLR 2023 Mixed Linear Regression via Approximate Message Passing AISTATS 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023 Acceleration in Distributed Sparse Regression NeurIPS 2022 Entropy Estimation via Normalizing Flow AAAI 2022 FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting JMLR 2022 Spiked Covariance Estimation from Modulo-Reduced Measurements AISTATS 2022 Streaming Algorithms for High-Dimensional Robust Statistics ICML 2022 Approximate Message Passing with Spectral Initialization for Generalized Linear Models AISTATS 2021 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 NeurIPS 2021 Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NeurIPS 2021 Multi-level Gaussian Graphical Models Conditional on Covariates AISTATS 2020 On Learning Ising Models under Huber's Contamination Model NeurIPS 2020 Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models JMLR 2020 Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019 Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation AISTATS 2018 Estimation of Graphical Models through Structured Norm Minimization 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 NeurIPS 2018