Co-occurring keywords · papers mentioning both
Papers
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
JMLR 2021
On ADMM in Deep Learning: Convergence and Saturation-Avoidance
JMLR 2021
One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
AISTATS 2021
On Linear Stability of SGD and Input-Smoothness of Neural Networks
NeurIPS 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference
JMLR 2021
On Monotonic Linear Interpolation of Neural Network Parameters
ICML 2021
On the Convergence of Step Decay Step-Size for Stochastic Optimization
NeurIPS 2021
On the Convergence of Stochastic Compositional Gradient Descent Ascent Method
IJCAI 2021
On the distributional properties of adaptive gradients
UAI 2021
On the Origin of Implicit Regularization in Stochastic Gradient Descent
ICLR 2021
On the Power of Differentiable Learning versus PAC and SQ Learning
NeurIPS 2021
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
NeurIPS 2021
Optimal Rates for Random Order Online Optimization
NeurIPS 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
ICML 2021
Phase-Wise Parameter Aggregation for Improving SGD Optimization
WACV 2021
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
ICML 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling
ICML 2021
Private Adaptive Gradient Methods for Convex Optimization
ICML 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
ICML 2021
Provably Faster Algorithms for Bilevel Optimization
NeurIPS 2021
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
NeurIPS 2021
Randomized Automatic Differentiation
ICLR 2021
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
NeurIPS 2021
Regularizing Neural Networks via Adversarial Model Perturbation
CVPR 2021
Revisiting Model Stitching to Compare Neural Representations
NeurIPS 2021