Co-occurring keywords · papers mentioning both
Papers
A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty
AAAI 2026
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases (Extended Abstract)
COLT 2026
An Enhanced Levenberg--Marquardt Method via Gram Reduction
AAAI 2025
Difference of submodular minimization via DC programming
ICML 2023
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach
AAAI 2023
Sharp analysis of EM for learning mixtures of pairwise differences
COLT 2023
FedNL: Making Newton-Type Methods Applicable to Federated Learning
ICML 2022
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations
AAAI 2022
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
NeurIPS 2022
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization
AISTATS 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization
JMLR 2022
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
COLT 2021
EM Converges for a Mixture of Many Linear Regressions
AISTATS 2020
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
ICML 2018
Which Training Methods for GANs do actually Converge?
ICML 2018
Approximate Newton Methods and Their Local Convergence
ICML 2017