Co-occurring keywords · papers mentioning both
Papers
Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
ICLR 2025
On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning
RSS 2025
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness
AAAI 2024
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract)
IJCAI 2023
A consistently adaptive trust-region method
NeurIPS 2022
Robust Trust Region for Weakly Supervised Segmentation
ICCV 2021
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
NeurIPS 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
ACL 2020
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
NeurIPS 2019
Reinforcement Learning in Configurable Continuous Environments
ICML 2019
A Distributed Second-Order Algorithm You Can Trust
ICML 2018
Inexact trust-region algorithms on Riemannian manifolds
NeurIPS 2018
On denoising modulo 1 samples of a function
AISTATS 2018
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
ICLR 2018
A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification
ACML 2017
Newton-Type Methods for Inference in Higher-Order Markov Random Fields
CVPR 2017
Sub-sampled Cubic Regularization for Non-convex Optimization
ICML 2017
Efficient Squared Curvature
CVPR 2014
RTRMC: A Riemannian trust-region method for low-rank matrix completion
NeurIPS 2011