Co-occurring keywords · papers mentioning both
Papers
Revisit last-iterate convergence of mSGD under milder requirement on step size
NeurIPS 2022
Reward-Weighted Regression Converges to a Global Optimum
AAAI 2022
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
AISTATS 2022
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning
NeurIPS 2022
The Dynamics of Riemannian Robbins-Monro Algorithms
COLT 2022
The Role of Baselines in Policy Gradient Optimization
NeurIPS 2022
Three rates of convergence or separation via U-statistics in a dependent framework
JMLR 2022
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
ICML 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
NeurIPS 2022
Towards Understanding Biased Client Selection in Federated Learning
AISTATS 2022
Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
NeurIPS 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
ICML 2022
Understanding the unstable convergence of gradient descent
ICML 2022
Will Bilevel Optimizers Benefit from Loops
NeurIPS 2022
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs
L4DC 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
ICLR 2021
A Comprehensively Tight Analysis of Gradient Descent for PCA
NeurIPS 2021
A Convergence Analysis of Gradient Descent on Graph Neural Networks
NeurIPS 2021
Alternating Direction Method of Multipliers for Quantization
AISTATS 2021
An Inertial Newton Algorithm for Deep Learning
JMLR 2021
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
ACML 2021
Approximate Midpoint Policy Iteration for Linear Quadratic Control
L4DC 2021
Approximate Newton Methods
JMLR 2021
A Unified Convergence Analysis for Shuffling-Type Gradient Methods
JMLR 2021
Bilevel Optimization: Convergence Analysis and Enhanced Design
ICML 2021