Co-occurring keywords · papers mentioning both
Papers
A Truncated Newton Method for Optimal Transport
ICLR 2025
A Fast and Provable Algorithm for Sparse Phase Retrieval
ICLR 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
AISTATS 2024
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
JMLR 2023
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
ICML 2022
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
ICML 2021
Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit
JMLR 2021
Scalable Approximations for Generalized Linear Problems
JMLR 2019
The Common-directions Method for Regularized Empirical Risk Minimization
JMLR 2019
Distributed Multitask Reinforcement Learning with Quadratic Convergence
NeurIPS 2018
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning
NeurIPS 2017
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
NeurIPS 2016
Convergence rates of sub-sampled Newton methods
NeurIPS 2015
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
NeurIPS 2014