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Second-order methods
Second-order methods
Use second-order statistics to process data.
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Showing 1–10 of 181 papers
Title
Date
Tasks
Status
Hype
Towards Practical Second-Order Optimizers in Deep Learning: Insights from Fisher Information Analysis
Apr 26, 2025
Computational Efficiency
image-classification
Code
Code Available
2
Automatic Gradient Descent: Deep Learning without Hyperparameters
Apr 11, 2023
Deep Learning
Second-order methods
Code
Code Available
2
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Jun 9, 2020
Bayesian Optimization
Second-order methods
Code
Code Available
2
SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
Feb 25, 2025
Second-order methods
Code
Code Available
1
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
Jun 5, 2024
reinforcement-learning
Reinforcement Learning
Code
Code Available
1
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
Feb 5, 2024
Second-order methods
Code
Code Available
1
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC
Dec 9, 2023
Second-order methods
Code
Code Available
1
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
Jun 2, 2023
Second-order methods
Code
Code Available
1
Symmetry Teleportation for Accelerated Optimization
May 21, 2022
Second-order methods
Code
Code Available
1
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures
May 12, 2022
Contrastive Learning
Geometry-aware processing
Code
Code Available
1
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