conftrace_

recovery guarantee

10 papers

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Co-occurring keywords · papers mentioning both

generative model (2) compressed sensing (2) regret upper bounds (1) k-subspaces method (1) linear independence (1) norm-based estimation (1) random graph model (1) local strong convexity (1) one-hidden-layer neural network (1) latent code recovery (1)

Papers

Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits ICML 2024 Metric Learning from Limited Pairwise Preference Comparisons UAI 2024 Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022 PLUGIn: A simple algorithm for inverting generative models with recovery guarantees NeurIPS 2021 When is a Convolutional Filter Easy to Learn? ICLR 2018 Compressed Sensing using Generative Models ICML 2017 Recovery Guarantees for One-hidden-layer Neural Networks ICML 2017 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016 Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates NeurIPS 2016 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014