conftrace_

spectral algorithm

51 papers

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Also known as

SA

Co-occurring keywords

community detection (276) tensor decomposition (375) stochastic block model (146) spectral method (204) graph clustering (195) plackett-luce model (31) kernel ridge regression (111) matrix completion (356) spectral clustering (305) latent variable (541)

Papers

Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm AISTATS 2019
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition COLT 2019
The spiked matrix model with generative priors NIPS 2019
Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods COLT 2018
Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering CVPR 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
Tensor Biclustering NIPS 2017
Fast and robust tensor decomposition with applications to dictionary learning COLT 2017
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation NIPS 2016
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation NIPS 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's NIPS 2015
Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery COLT 2015
A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015
Spectral Methods for Indian Buffet Process Inference NIPS 2014
Spectral Bandits for Smooth Graph Functions ICML 2014
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014
Hierarchical Tensor Decomposition of Latent Tree Graphical Models ICML 2013
Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses JMLR 2013
Convex Relaxations for Permutation Problems NIPS 2013
A Spectral Algorithm for Latent Dirichlet Allocation NIPS 2012
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011