spectral algorithm

An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm ICML 2020 Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian NeurIPS 2020 Fast and Accurate Ranking Regression AISTATS 2020 Linear-Sample Learning of Low-Rank Distributions NeurIPS 2020 Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020 Prior-aware Composition Inference for Spectral Topic Models AISTATS 2020 Spectral Algorithms for Community Detection in Directed Networks JMLR 2020 A Robust Spectral Algorithm for Overcomplete Tensor Decomposition COLT 2019 Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm AISTATS 2019 Learning Two-layer Neural Networks with Symmetric Inputs ICLR 2019 The spiked matrix model with generative priors NeurIPS 2019 Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering CVPR 2018 Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods COLT 2018 Spectral Algorithms for Computing Fair Support Vector Machines AISTATS 2018 A Maximum Matching Algorithm for Basis Selection in Spectral Learning AISTATS 2017 A Spectral Algorithm for Inference in Hidden semi-Markov Models JMLR 2017 Fast and robust tensor decomposition with applications to dictionary learning COLT 2017 Tensor Biclustering NeurIPS 2017 Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation NeurIPS 2016 A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015 Fast and Accurate Inference of Plackett–Luce Models NeurIPS 2015 Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation NeurIPS 2015 Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery COLT 2015 Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's NeurIPS 2015 Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014