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Sparse Optimization

66 directly classified papers

Papers per year

Papers

Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing AAAI 2024
Entity Disambiguation on a Tight Labeling Budget EMNLP 2023
OKRidge: Scalable Optimal k-Sparse Ridge Regression NIPS 2023
Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022
The Hessian Screening Rule NIPS 2022
Discovering Interpretable Data-to-Sequence Generators AAAI 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions NIPS 2022
Chunk Dynamic Updating for Group Lasso with ODEs AAAI 2022
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior EMNLP 2020
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm EMNLP 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors NIPS 2020
The Strong Screening Rule for SLOPE NIPS 2020
Deeply Learned Spectral Total Variation Decomposition NIPS 2020
Fast Sparse Group Lasso NIPS 2019
Doubly-Robust Lasso Bandit NIPS 2019
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NIPS 2018
Efficient Stochastic Gradient Hard Thresholding NIPS 2018
Orthogonal Matching Pursuit for Text Classification EMNLP 2018
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames NIPS 2018
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NIPS 2017
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors CVPR 2017
Consensus of Non-Rigid Reconstructions CVPR 2016
In Defense of Sparse Tracking: Circulant Sparse Tracker CVPR 2016
Scene Labeling Using Sparse Precision Matrix CVPR 2016