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Sparse Optimization

158 papers

Papers per year

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Papers

Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NIPS 2024
Robust group and simultaneous inferences for high-dimensional single index model NIPS 2024
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing AAAI 2024
Recovery Guarantees for Distributed-OMP AISTATS 2024
A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter NIPS 2023
OKRidge: Scalable Optimal k-Sparse Ridge Regression NIPS 2023
Entity Disambiguation on a Tight Labeling Budget EMNLP 2023
Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023
The Hessian Screening Rule NIPS 2022
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NIPS 2022
Signal Recovery with Non-Expansive Generative Network Priors NIPS 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NIPS 2022
Data-Efficient Structured Pruning via Submodular Optimization NIPS 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions NIPS 2022
Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022
Towards Fully Sparse Training: Information Restoration with Spatial Similarity AAAI 2022
Discovering Interpretable Data-to-Sequence Generators AAAI 2022
Chunk Dynamic Updating for Group Lasso with ODEs AAAI 2022
Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space CVPR 2022
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares NIPS 2021
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior AAAI 2021
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases AAAI 2021