Co-occurring keywords · papers mentioning both
Papers
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
ICML 2025
Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold
ICLR 2025
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
ICML 2024
FedDAR: Federated Domain-Aware Representation Learning
ICLR 2023
On a Class of Gibbs Sampling over Networks
COLT 2023
On Convergence of Gradient Expected Sarsa(λ)
AAAI 2021
Fast Algorithms for Sparse Reduced-Rank Regression
AISTATS 2019
Asynchronous Parallel Greedy Coordinate Descent
NeurIPS 2016
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
NeurIPS 2012