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low-rank regression

9 papers

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Co-occurring keywords

reduced rank regression (7) tensor decomposition (375) multilinear rank (2) two-photon optogenetics (1) stagewise estimation (1) personalized regression (1) two-photon holographic optogenetics (1) dynamical systems model (1) photostimulation design (1) neural datum (15)

Papers

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