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l1 norm

11 papers

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L1

Co-occurring keywords · papers mentioning both

sparse optimization (3) random matrix (2) sparse representation (2) convex optimization (2) dimensionality reduction (2) sparsity-promoting objective (1) l2 norm (1) laplace distribution (1) entrywise loss (1) differentiable l2 regularization (1)

Papers

A Two-Stage Learning-to-Defer Approach for Multi-Task Learning ICML 2025 Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries ICLR 2025 Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing COLT 2021 Partial Policy Iteration for L1-Robust Markov Decision Processes JMLR 2021 Sparse and Smooth Signal Estimation: Convexification of L0-Formulations JMLR 2021 Average Case Column Subset Selection for Entrywise ℓ_1-Norm Loss NeurIPS 2019 Comparing distributions: ℓ_1 geometry improves kernel two-sample testing NeurIPS 2019 Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015 Optimal Mean Robust Principal Component Analysis ICML 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Functional form of motion priors in human motion perception NeurIPS 2010