conftrace_

local convergence

14 papers

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Co-occurring keywords

gradient descent (1144) newton method (64) mixture of linear regression (9) gan training (21) expectation-maximization algorithm (23) second-order optimization (93) variance reduction (523) parameter estimation (274) stochastic optimization (1060) alternating gradient descent (9)

Papers

A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty AAAI 2026
An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025
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
Difference of submodular minimization via DC programming ICML 2023
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
FedNL: Making Newton-Type Methods Applicable to Federated Learning ICML 2022
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations AAAI 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