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multi-index model

11 papers

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Co-occurring keywords · papers mentioning both

neural network (4) single-index model (3) feature learning (3) learning theory (3) high-dimensional learning (2) gradient descent (2) sample complexity (2) gaussian surface area (1) weak recovery (1) intersection of halfspace (1)

Papers

Limitations of SGD for Multi-Index Models Beyond Statistical Queries COLT 2026 Fundamental computational limits of weak learnability in high-dimensional multi-index models AISTATS 2025 Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence AISTATS 2025 Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics ICLR 2025 Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions COLT 2025 Robust Feature Learning for Multi-Index Models in High Dimensions ICLR 2025 Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery COLT 2025 Pruning is Optimal for Learning Sparse Features in High-Dimensions COLT 2024 Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension COLT 2024 Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020 Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma NeurIPS 2017