conftrace_

quasi-newton method

60 papers

Explore in graph

Also known as

QN

Co-occurring keywords

stochastic optimization (1060) superlinear convergence (24) hessian approximation (41) convex optimization (1321) stochastic gradient descent (1091) bfgs method (5) second-order optimization (93) gradient descent (1144) convergence analysis (395) neural network (6616)

Papers

Opt3DGS: Optimizing 3D Gaussian Splatting with Adaptive Exploration and Curvature-Aware Exploitation AAAI 2026
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations NIPS 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs NIPS 2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024
Sharpened Lazy Incremental Quasi-Newton Method AISTATS 2024
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction CVPR 2024
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024
Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization NIPS 2023
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023
Block Broyden's Methods for Solving Nonlinear Equations NIPS 2023
Quasi-Newton Steps for Efficient Online Exp-Concave Optimization COLT 2023
Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods JMLR 2022
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood ICML 2022
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement NIPS 2022
Quasi-Newton Methods for Saddle Point Problems NIPS 2022
A Variant of Anderson Mixing with Minimal Memory Size NIPS 2022
A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract) AAAI 2022
The ensmallen library for flexible numerical optimization JMLR 2021
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods CVPR 2021
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach NIPS 2021
Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021