single-index model

Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective NeurIPS 2023 On Single-Index Models beyond Gaussian Data NeurIPS 2023 Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models NeurIPS 2023 Learning single-index models with shallow neural networks NeurIPS 2022 Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 Non-Iterative Recovery From Nonlinear Observations Using Generative Models CVPR 2022 Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021 Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020 Ultra-High Dimensional Single-Index Quantile Regression JMLR 2020 Statistical-Computational Tradeoff in Single Index Models NeurIPS 2019 Learning Single-Index Models in Gaussian Space COLT 2018 High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017 Robust Structured Estimation with Single-Index Models ICML 2017 L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs JMLR 2016 Matrix Completion Under Monotonic Single Index Models NeurIPS 2015 Optimal Linear Estimation under Unknown Nonlinear Transform NeurIPS 2015 Sparse Single-Index Model JMLR 2013 Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NeurIPS 2011