Co-occurring keywords · papers mentioning both
Papers
Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
CVPR 2026
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
ICML 2025
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
ICML 2024
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
ICLR 2023
On the Accelerated Noise-Tolerant Power Method
AISTATS 2023
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
NeurIPS 2022
On the Suboptimality of Negative Momentum for Minimax Optimization
AISTATS 2021
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization
AISTATS 2020
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation
ICML 2017
Large-scale log-determinant computation through stochastic Chebyshev expansions
ICML 2015