iterative hard thresholding

An Efficient Pruner for Large Language Model with Theoretical Guarantee ICML 2025 Computationally Efficient Methods for Invariant Feature Selection with Sparsity UAI 2025 Learning sparse generalized linear models with binary outcomes via iterative hard thresholding COLT 2025 PoseAnchor: Robust Root Position Estimation for 3D Human Pose Estimation ICCV 2025 Probabilistic Explanations for Regression Models UAI 2025 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NeurIPS 2024 Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence ICML 2024 Exponential Generalization Bounds with Near-Optimal Rates for L_q-Stable Algorithms ICLR 2023 Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime ICML 2022 Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model JMLR 2021 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding JMLR 2021 Dual Iterative Hard Thresholding JMLR 2020 High Dimensional Robust Sparse Regression AISTATS 2020 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding ICML 2020 Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros AISTATS 2019 Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NeurIPS 2019 Learning Sparse Distributions using Iterative Hard Thresholding NeurIPS 2019 On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019 Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019 IHT dies hard: Provable accelerated Iterative Hard Thresholding AISTATS 2018 Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018 Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NeurIPS 2018 Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014