Co-occurring keywords · papers mentioning both
Papers
Structured Graph Learning Via Laplacian Spectral Constraints
NeurIPS 2019
Supervised Community Detection with Line Graph Neural Networks
ICLR 2019
A Spectral View of Adversarially Robust Features
NeurIPS 2018
Community Detection and Stochastic Block Models: Recent Developments
JMLR 2018
Fast Spectral Ranking for Similarity Search
CVPR 2018
Fundamental Limits of Weak Recovery with Applications to Phase Retrieval
COLT 2018
Hyperparameter optimization: a spectral approach
ICLR 2018
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
ICML 2018
Linear Spectral Estimators and an Application to Phase Retrieval
ICML 2018
Provable Estimation of the Number of Blocks in Block Models
AISTATS 2018
Rates of Convergence of Spectral Methods for Graphon Estimation
ICML 2018
Stochastic Spectral and Conjugate Descent Methods
NeurIPS 2018
Adaptive ADMM with Spectral Penalty Parameter Selection
AISTATS 2017
Analyzing Tensor Power Method Dynamics in Overcomplete Regime
JMLR 2017
Hierarchical Clustering Beyond the Worst-Case
NeurIPS 2017
Hierarchical Methods of Moments
NeurIPS 2017
Improved Graph Laplacian via Geometric Self-Consistency
NeurIPS 2017
Learning Overcomplete HMMs
NeurIPS 2017
Optimal Sample Complexity of M-wise Data for Top-K Ranking
NeurIPS 2017
Score Aggregation via Spectral Method
IJCAI 2017
Spectral Methods for Correlated Topic Models
AISTATS 2017
The Hidden Hubs Problem
COLT 2017
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
NeurIPS 2016
Graph Clustering: Block-models and model free results
NeurIPS 2016
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices
NeurIPS 2016