conftrace_

spectral method

204 papers

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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

Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method AISTATS 2024
Exploiting Data Geometry in Machine Learning AAAI 2024
Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method JMLR 2023
Delving Into Shape-Aware Zero-Shot Semantic Segmentation CVPR 2023
SigMaNet: One Laplacian to Rule Them All AAAI 2023
Mixed Linear Regression via Approximate Message Passing AISTATS 2023
Solving High-Dimensional PDEs with Latent Spectral Models ICML 2023
Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms NIPS 2023
Dictionary Learning for the Almost-Linear Sparsity Regime ALT 2023
How a Student becomes a Teacher: learning and forgetting through Spectral methods NIPS 2023
Graph Positional Encoding via Random Feature Propagation ICML 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model NIPS 2023
Projected Tensor Power Method for Hypergraph Community Recovery ICML 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks NIPS 2023
Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information EACL 2023
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning NIPS 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration CVPR 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NIPS 2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NIPS 2022
Crowdsourcing Regression: A Spectral Approach AISTATS 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022
A Fourier Approach to Mixture Learning NIPS 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods NIPS 2022
Transform Once: Efficient Operator Learning in Frequency Domain NIPS 2022