Co-occurring keywords · papers mentioning both
Papers
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
ICML 2022
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always
IJCAI 2022
Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems
NeurIPS 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
NeurIPS 2022
AdaGrad Avoids Saddle Points
ICML 2022
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
NeurIPS 2022
A general sample complexity analysis of vanilla policy gradient
AISTATS 2022
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
NeurIPS 2022
A Nonconvex Framework for Structured Dynamic Covariance Recovery
JMLR 2022
Approximate Secular Equations for the Cubic Regularization Subproblem
NeurIPS 2022
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
ICML 2022
A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences
NeurIPS 2022
A Stochastic Bundle Method for Interpolation
JMLR 2022
Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape
JMLR 2022
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
NeurIPS 2022
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
NeurIPS 2022
Better SGD using Second-order Momentum
NeurIPS 2022
Black-Box Generalization: Stability of Zeroth-Order Learning
NeurIPS 2022
CCCP is Frank-Wolfe in disguise
NeurIPS 2022
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
AISTATS 2022
Computing D-Stationary Points of $ρ$-Margin Loss SVM
AISTATS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables
NeurIPS 2022
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
NeurIPS 2022
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
ICML 2022
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems
L4DC 2022