conftrace_

alternating minimization

69 papers

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Also known as

AM ALTMIN

Co-occurring keywords

matrix completion (356) non-convex optimization (547) low-rank matrix (174) sparse recovery (113) sample complexity (1169) multi-task learning (2575) tensor decomposition (375) matrix factorization (529) convex optimization (1321) nonconvex optimization (316)

Papers

Non-Convex Tensor Recovery from Local Measurements AAAI 2025
Modeling Latent Non-Linear Dynamical System over Time Series AAAI 2025
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks NIPS 2024
Scalable Learning of Item Response Theory Models AISTATS 2024
Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization ALT 2024
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024
On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms L4DC 2024
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks NIPS 2024
Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior CVPR 2023
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023
Interpretable Clustering via Multi-Polytope Machines AAAI 2022
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network JMLR 2022
Sparse Tensor Additive Regression JMLR 2021
Fuzzy Clustering with Similarity Queries NIPS 2021
Self-Supervised Geometric Perception CVPR 2021
On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021
Statistically and Computationally Efficient Linear Meta-representation Learning NIPS 2021
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling AISTATS 2020
Tensor Completion Made Practical NIPS 2020
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion NIPS 2020
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms NIPS 2019
Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery ICCV 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement ICML 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019