Co-occurring keywords · papers mentioning both
Papers
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization
AISTATS 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior
CVPR 2021
Convergence rates and approximation results for SGD and its continuous-time counterpart
COLT 2021
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments
RSS 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding
ICML 2021
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
NeurIPS 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach
ICML 2021
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
NeurIPS 2021
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods
CVPR 2021
Escape saddle points by a simple gradient-descent based algorithm
NeurIPS 2021
Evolutionary Gradient Descent for Non-convex Optimization
IJCAI 2021
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
NeurIPS 2021
Field of Junctions: Extracting Boundary Structure at Low SNR
ICCV 2021
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function
AISTATS 2021
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds
NeurIPS 2021
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
NeurIPS 2021
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
NeurIPS 2021
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
NeurIPS 2021
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent
COLT 2021
Landscape analysis of an improved power method for tensor decomposition
NeurIPS 2021
Learn2Hop: Learned Optimization on Rough Landscapes
ICML 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
NeurIPS 2021
Learning-to-learn non-convex piecewise-Lipschitz functions
NeurIPS 2021
Leveraging Non-uniformity in First-order Non-convex Optimization
ICML 2021
Low-Rank Tensor Completion by Approximating the Tensor Average Rank
ICCV 2021