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spectral learning

31 papers

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Co-occurring keywords

weighted automaton (14) hidden markov model (302) predictive state representation (19) singular value decomposition (222) hankel matrix (11) dynamical system (398) spectral method (204) weighted automata (6) probabilistic model (476) latent variable model (564)

Papers

Any-Resolution AI-Generated Image Detection by Spectral Learning CVPR 2025
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
Spectral Unsupervised Domain Adaptation for Visual Recognition CVPR 2022
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction NIPS 2021
Minimizing Annotation Effort via Max-Volume Spectral Sampling EMNLP 2021
Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks ACML 2021
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning AISTATS 2020
Relating RNN Layers with the Spectral WFA Ranks in Sequence Modelling ACL 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning AISTATS 2019
Interpolated Spectral NGram Language Models ACL 2019
On the Global Optima of Kernelized Adversarial Representation Learning ICCV 2019
Nonlinear Weighted Finite Automata AISTATS 2018
Completing State Representations using Spectral Learning NIPS 2018
Multitask Spectral Learning of Weighted Automata NIPS 2017
Spectral Learning from a Single Trajectory under Finite-State Policies ICML 2017
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning JMLR 2016
Spectral Learning of Dynamic Systems from Nonequilibrium Data NIPS 2016
Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015
Spectral Learning of Large Structured HMMs for Comparative Epigenomics NIPS 2015
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014
Spectral Learning of Mixture of Hidden Markov Models NIPS 2014
Low-Rank Spectral Learning AISTATS 2014
Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity JMLR 2014
A Spectral Learning Approach to Range-Only SLAM ICML 2013
Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013