Co-occurring keywords · papers mentioning both
Papers
Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond
COLT 2023
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
NeurIPS 2023
Zeroth-order Optimization with Weak Dimension Dependency
COLT 2023
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums
ICLR 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
NeurIPS 2022
Is Local SGD Better than Minibatch SGD?
ICML 2020
Universal Average-Case Optimality of Polyak Momentum
ICML 2020
Aggregated Momentum: Stability Through Passive Damping
ICLR 2019
Learning Large-Scale Automatic Image Colorization
ICCV 2015