spectral density

Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025 Sharper Bounds for Chebyshev Moment Matching, with Applications COLT 2025 AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models NeurIPS 2024 Copula-Nested Spectral Kernel Network ICML 2024 Model Balancing Helps Low-data Training and Fine-tuning EMNLP 2024 Stein Random Feature Regression UAI 2024 Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022 Free Probability for predicting the performance of feed-forward fully connected neural networks NeurIPS 2022 Investigating and Explaining the Frequency Bias in Image Classification IJCAI 2022 Ridgeless Regression with Random Features IJCAI 2022 Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning JMLR 2021 Band-Limited Gaussian Processes: The Sinc Kernel NeurIPS 2019 Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019 Function-Space Distributions over Kernels NeurIPS 2019 Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NeurIPS 2015 Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013