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low-rank regression

9 papers

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Co-occurring keywords · papers mentioning both

reduced-rank regression (2) tensor decomposition (2) dynamical systems model (1) photostimulation design (1) neural data (1) least square (1) consistent estimator (1) tensor regression (1) cp decomposition (1) mixture of linear regression (1)

Papers

Active learning of neural population dynamics using two-photon holographic optogenetics NeurIPS 2024 Adaptive Reduced Rank Regression NeurIPS 2020 Learning Sample-Specific Models with Low-Rank Personalized Regression NeurIPS 2019 Boosted Sparse and Low-Rank Tensor Regression NeurIPS 2018 Low-Rank-Sparse Subspace Representation for Robust Regression CVPR 2017 Low-Rank Regression with Tensor Responses NeurIPS 2016 Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013