conftrace_

superlinear convergence

24 papers

Explore in graph

Co-occurring keywords

quasi-newton method (60) stochastic optimization (1060) bfgs method (5) hessian approximation (41) convex optimization (1321) second-order method (38) incremental optimization (5) newton method (64) sr1 method (2) nonlinear equation (3)

Papers

An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025
A De-singularity Subgradient Approach for the Extended Weber Location Problem IJCAI 2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024
Stochastic Newton Proximal Extragradient Method NIPS 2024
Accelerated Regularized Learning in Finite N-Person Games NIPS 2024
Sharpened Lazy Incremental Quasi-Newton Method AISTATS 2024
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search NIPS 2024
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023
Block Broyden's Methods for Solving Nonlinear Equations NIPS 2023
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023
Second-Order Optimization with Lazy Hessians ICML 2023
Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence JMLR 2022
Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods JMLR 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NIPS 2022
Quasi-Newton Methods for Saddle Point Problems NIPS 2022
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood ICML 2022
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach NIPS 2021
Hyperparameter Tuning is All You Need for LISTA NIPS 2021
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence NIPS 2021
Inexact Tensor Methods with Dynamic Accuracies ICML 2020
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums ICML 2016