conftrace_

condition number

43 papers

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Co-occurring keywords

convex optimization (1321) linear convergence (158) gradient descent (1144) variance reduction (523) compressed sensing (201) stochastic gradient (296) stochastic optimization (1060) strongly convex (89) minimax optimization (186) stochastic gradient descent (1091)

Papers

Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems JMLR 2025
Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025
Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks NIPS 2024
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps JMLR 2024
Stochastic Newton Proximal Extragradient Method NIPS 2024
Feature Adaptation for Sparse Linear Regression NIPS 2023
Polynomial Preconditioning for Gradient Methods ICML 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing ICML 2023
How Does Adaptive Optimization Impact Local Neural Network Geometry? NIPS 2023
Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control L4DC 2023
Independent Component Alignment for Multi-Task Learning CVPR 2023
Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility AAAI 2023
Robust low-rank training via approximate orthonormal constraints NIPS 2023
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales COLT 2022
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis ICML 2022
Stochastic Reweighted Gradient Descent ICML 2022
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime ICML 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NIPS 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation NIPS 2022
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems NIPS 2021
Condition number bounds for causal inference UAI 2021
A Study of Condition Numbers for First-Order Optimization AISTATS 2021
Path Length Bounds for Gradient Descent and Flow JMLR 2021
Near-Optimal Algorithms for Minimax Optimization COLT 2020
Linear Lower Bounds and Conditioning of Differentiable Games ICML 2020