Co-occurring keywords · papers mentioning both
Papers
An Enhanced Levenberg--Marquardt Method via Gram Reduction
AAAI 2025
Enabling Optimal Decisions in Rehearsal Learning under CARE Condition
ICML 2025
OPTAMI: Global Superlinear Convergence of High-order Methods
ICLR 2025
Accelerated Regularized Learning in Finite N-Person Games
NeurIPS 2024
A De-singularity Subgradient Approach for the Extended Weber Location Problem
IJCAI 2024
An Inexact Projected Regularized Newton Method for Fused Zero-norms Regularization Problems
JMLR 2024
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity
JMLR 2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
AAAI 2024
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
NeurIPS 2024
Sharpened Lazy Incremental Quasi-Newton Method
AISTATS 2024
Stochastic Newton Proximal Extragradient Method
NeurIPS 2024
Block Broyden's Methods for Solving Nonlinear Equations
NeurIPS 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
ICML 2023
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces
AISTATS 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
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
NeurIPS 2022
Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
JMLR 2022
Quasi-Newton Methods for Saddle Point Problems
NeurIPS 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
NeurIPS 2021
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence
NeurIPS 2021
Hyperparameter Tuning is All You Need for LISTA
NeurIPS 2021
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate
AISTATS 2020