Sparse Optimization

How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024 Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NeurIPS 2024 Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy AAAI 2024 Latent Gaussian Graphical Models with Golazo Penalty PGM 2024 Learning Macroscopic Dynamics from Partial Microscopic Observations NeurIPS 2024 Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024 OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees CVPR 2024 On Differentially Private Subspace Estimation in a Distribution-Free Setting NeurIPS 2024 Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024 Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks NeurIPS 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 Solving Sparse \& High-Dimensional-Output Regression via Compression NeurIPS 2024 Sparse Bayesian Generative Modeling for Compressive Sensing NeurIPS 2024 Sparse NMF with Archetypal Regularization: Computational and Robustness Properties JMLR 2024 Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures AAAI 2024 Support Recovery in Sparse PCA with General Missing Data UAI 2024 The Non-Overlapping Statistical Approximation to Overlapping Group Lasso JMLR 2024 The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NeurIPS 2024 Truthful High Dimensional Sparse Linear Regression NeurIPS 2024 Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond COLT 2023 Adaptive Estimation of Graphical Models under Total Positivity ICML 2023 Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023 Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023