Co-occurring keywords · papers mentioning both
Papers
MagNet: A Neural Network for Directed Graphs
NeurIPS 2021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
ICML 2021
Principal Component Regression with Semirandom Observations via Matrix Completion
AISTATS 2021
Regime Switching Bandits
NeurIPS 2021
Robustifying Algorithms of Learning Latent Trees with Vector Variables
NeurIPS 2021
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
NeurIPS 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
ICML 2021
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs
ICML 2021
Statistical Query Lower Bounds for Tensor PCA
JMLR 2021
Universal Spectral Adversarial Attacks for Deformable Shapes
CVPR 2021
When Is Unsupervised Disentanglement Possible?
NeurIPS 2021
A Spectral Method for Unsupervised Multi-Document Summarization
EMNLP 2020
Best Arm Identification in Spectral Bandits
IJCAI 2020
Discovering conflicting groups in signed networks
NeurIPS 2020
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
NeurIPS 2020
Falcon: Fast Spectral Inference on Encrypted Data
NeurIPS 2020
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
ICLR 2020
Linear-Sample Learning of Low-Rank Distributions
NeurIPS 2020
Matérn Gaussian Processes on Riemannian Manifolds
NeurIPS 2020
Maximum Likelihood Embedding of Logistic Random Dot Product Graphs
AAAI 2020
Meta-learning for Mixed Linear Regression
ICML 2020
Optimal Bipartite Network Clustering
JMLR 2020
Phase retrieval in high dimensions: Statistical and computational phase transitions
NeurIPS 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
NeurIPS 2020
Robustness of Community Detection to Random Geometric Perturbations
NeurIPS 2020