conftrace_

spectral method

204 papers

Explore in graph

Co-occurring keywords

graph neural network (3962) community detection (276) stochastic block model (146) tensor decomposition (375) manifold learning (403) spectral analysis (239) semi-supervised learning (2341) matrix completion (356) unsupervised learning (3264) sample complexity (1169)

Papers

Optimal Sample Complexity of M-wise Data for Top-K Ranking NIPS 2017
Improved Graph Laplacian via Geometric Self-Consistency NIPS 2017
Analyzing Tensor Power Method Dynamics in Overcomplete Regime JMLR 2017
Hierarchical Clustering Beyond the Worst-Case NIPS 2017
The Hidden Hubs Problem COLT 2017
Spectral Methods for Correlated Topic Models AISTATS 2017
Learning Overcomplete HMMs NIPS 2017
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization NIPS 2016
Optimal Cluster Recovery in the Labeled Stochastic Block Model NIPS 2016
Normalized Spectral Map Synchronization NIPS 2016
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices NIPS 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016
The Variational Nystrom method for large-scale spectral problems ICML 2016
Simple and Scalable Constrained Clustering: a Generalized Spectral Method AISTATS 2016
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NIPS 2016
On Mixtures of Markov Chains NIPS 2016
Graph Clustering: Block-models and model free results NIPS 2016
Reinforcement Learning of POMDPs using Spectral Methods COLT 2016
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation NIPS 2015
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems COLT 2015
Local High-Order Regularization on Data Manifolds CVPR 2015
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons ICML 2015
Supervised Learning for Dynamical System Learning NIPS 2015
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors NIPS 2015
Tensor principal component analysis via sum-of-square proofs COLT 2015