conftrace_

natural gradient

75 papers

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Also known as

NG

Co-occurring keywords

variational inference (2069) second-order optimization (93) fisher information matrix (46) gaussian process (1200) gradient descent (1144) bayesian inference (1907) kronecker factorization (18) policy gradient (520) natural gradient descent (17) neural network optimization (1293)

Papers

A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty AAAI 2026
Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization Invariance ACL 2026
On the Natural Gradient of the Evidence Lower Bound JMLR 2025
Optimising Distributions with Natural Gradient Surrogates AISTATS 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NIPS 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Fearless Stochasticity in Expectation Propagation NIPS 2024
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks NIPS 2024
Bayesian Online Natural Gradient (BONG) NIPS 2024
The Bayesian Learning Rule JMLR 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation NIPS 2023
Unbiased learning of deep generative models with structured discrete representations NIPS 2023
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning NIPS 2023
Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023
Towards an Understanding of Default Policies in Multitask Policy Optimization AISTATS 2022
Natural gradient enables fast sampling in spiking neural networks NIPS 2022
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature CVPR 2021
Tensor Normal Training for Deep Learning Models NIPS 2021
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient AAAI 2021
Spatio-Temporal Variational Gaussian Processes NIPS 2021
Handling the Positive-Definite Constraint in the Bayesian Learning Rule ICML 2020
New Insights and Perspectives on the Natural Gradient Method JMLR 2020