geometric convergence

Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families NeurIPS 2024 Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024 Positive Concave Deep Equilibrium Models ICML 2024 Restricted Strong Convexity of Deep Learning Models with Smooth Activations ICLR 2023 Learning Linear Models Using Distributed Iterative Hessian Sketching L4DC 2022 Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression NeurIPS 2019 Hamiltonian descent for composite objectives NeurIPS 2019 Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? ICML 2019 Sketched Iterative Algorithms for Structured Generalized Linear Models IJCAI 2019 Theoretical guarantees for EM under misspecified Gaussian mixture models NeurIPS 2018 Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017 Variance Reduced Stochastic Gradient Descent with Neighbors NeurIPS 2015 Phase Retrieval using Alternating Minimization NeurIPS 2013