Co-occurring keywords · papers mentioning both
Papers
Subspace Optimization for Large Language Models with Convergence Guarantees
ICML 2025
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
NeurIPS 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
NeurIPS 2022
Subspace Adversarial Training
CVPR 2022
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
NeurIPS 2021
Improving Neural Network Training in Low Dimensional Random Bases
NeurIPS 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization
AAAI 2020
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
NeurIPS 2016