Sparse Optimization

A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements UAI 2026 Cluster-aware Anchor Learning for Multi-View Clustering CVPR 2026 Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification L4DC 2026 Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning CVPR 2026 Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract) COLT 2026 Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories UAI 2026 Sparse Topic Modeling via Spectral Decomposition and Thresholding JMLR 2026 A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions AISTATS 2025 Computationally Efficient Methods for Invariant Feature Selection with Sparsity UAI 2025 Large Covariance Matrix Estimation With Nonnegative Correlations AISTATS 2025 Lasso Bandit with Compatibility Condition on Optimal Arm ICLR 2025 MAST: model-agnostic sparsified training ICLR 2025 Strong Screening Rules for Group-based SLOPE Models AISTATS 2025 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 Constrained Implicit Learning Framework for Neural Network Sparsification ACML 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NeurIPS 2024 Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024 Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) ICLR 2024 Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing AAAI 2024 Oja's Algorithm for Streaming Sparse PCA NeurIPS 2024 Recovery Guarantees for Distributed-OMP AISTATS 2024 Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 Sparsistency for inverse optimal transport ICLR 2024 Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023 Entity Disambiguation on a Tight Labeling Budget EMNLP 2023