Cover Image

Optimising Distributions with Natural Gradient Surrogates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	So, Jonathan, Turner, Richard E.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fearless Stochasticity in Expectation Propagation
by: So, Jonathan, et al.
Published: (2024)

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture
by: Turner, Edward
Published: (2025)

Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC
by: Lin, Wu, et al.
Published: (2023)

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
by: Requeima, James, et al.
Published: (2024)

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation
by: Subia-Waud, Christopher
Published: (2025)

MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization
by: Jiang, Runhao, et al.
Published: (2025)

Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM
by: So, Banghee
Published: (2023)

Estimating the normal-inverse-Wishart distribution
by: So, Jonathan
Published: (2024)

Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
by: Dao, Manh Cuong, et al.
Published: (2025)

Locality-aware Surrogates for Gradient-based Black-box Optimization
by: Momeni, Ali, et al.
Published: (2025)

Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection
by: Otte, Sebastian
Published: (2024)

Gradient-based Optimisation of Modulation Effects
by: Carson, Alistair, et al.
Published: (2026)

Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2024)

An Introduction to Transformers
by: Turner, Richard E.
Published: (2023)

SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
by: Huang, Haoyu, et al.
Published: (2026)

Ensemble Distributionally Robust Bayesian Optimisation
by: Ramazyan, Tigran, et al.
Published: (2026)

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
by: Bliek, Laurens, et al.
Published: (2021)

Gradient Regularized Natural Gradients
by: Dash, Satya Prakash, et al.
Published: (2026)

DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
by: Geuter, Jonathan, et al.
Published: (2025)

Functional Natural Policy Gradients
by: Bibaut, Aurelien, et al.
Published: (2026)

Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
by: Mead, Harry, et al.
Published: (2025)

Proactive Routing to Interpretable Surrogates with Distribution-Free Safety Guarantees
by: Uddin, Iqtedar, et al.
Published: (2026)

Computationally Efficient Optimisation of Elbow-Type Draft Tube Using Neural Network Surrogates
by: Sikirica, Ante, et al.
Published: (2024)

Gradient Scalability and Taylor Surrogation of Quantum Cost Landscapes
by: Meyer, Sabri, et al.
Published: (2025)

Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
by: Hoang, Minh, et al.
Published: (2025)

The Adversarial Consistency of Surrogate Risks for Binary Classification
by: Frank, Natalie, et al.
Published: (2023)

Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
by: Lin, Wu, et al.
Published: (2024)

An Asynchronous Decentralised Optimisation Algorithm for Nonconvex Problems
by: Mafakheri, Behnam, et al.
Published: (2025)

Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient
by: Cho, Namhoon, et al.
Published: (2022)

Gradient-Informed Temporal Sampling Improves Rollout Accuracy in PDE Surrogate Training
by: Wang, Wenshuo, et al.
Published: (2026)

Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy Gradients
by: Thrampoulidis, Christos, et al.
Published: (2025)

Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
by: Frank, Natalie S., et al.
Published: (2022)

HALO: Robust Out-of-Distribution Detection via Joint Optimisation
by: Keenan, Hugo Lyons, et al.
Published: (2025)

A Distributionally Robust Optimisation Approach to Fair Credit Scoring
by: Casas, Pablo, et al.
Published: (2024)

Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
by: Ji, Wenlong, et al.
Published: (2025)

SING: SDE Inference via Natural Gradients
by: Hu, Amber, et al.
Published: (2025)

Understanding Stochastic Natural Gradient Variational Inference
by: Wu, Kaiwen, et al.
Published: (2024)

Deep Learning Surrogates for Real-Time Gas Emission Inversion
by: Newman, Thomas, et al.
Published: (2025)

Gradient Routing: Masking Gradients to Localize Computation in Neural Networks
by: Cloud, Alex, et al.
Published: (2024)

Bayesian Online Natural Gradient (BONG)
by: Jones, Matt, et al.
Published: (2024)