Co-occurring keywords · papers mentioning both
Papers
L-SVRG and L-Katyusha with Arbitrary Sampling
JMLR 2021
MARINA: Faster Non-Convex Distributed Learning with Compression
ICML 2021
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
ICLR 2021
Multiplicative Noise and Heavy Tails in Stochastic Optimization
ICML 2021
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
AISTATS 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
NeurIPS 2021
Non-PSD matrix sketching with applications to regression and optimization
UAI 2021
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control
ICLR 2021
On a Combination of Alternating Minimization and Nesterov’s Momentum
ICML 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference
JMLR 2021
On the Convergence of Step Decay Step-Size for Stochastic Optimization
NeurIPS 2021
On the Second-order Convergence Properties of Random Search Methods
NeurIPS 2021
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
ICLR 2021
Optimal Complexity in Decentralized Training
ICML 2021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
ICML 2021
Oracle Complexity in Nonsmooth Nonconvex Optimization
NeurIPS 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
ICML 2021
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
NeurIPS 2021
Private Stochastic Non-convex Optimization with Improved Utility Rates
IJCAI 2021
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning
COLT 2021
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
ICLR 2021
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
NeurIPS 2021
QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization
Interspeech 2021
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
NeurIPS 2021
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization
AISTATS 2021