Online Natural Gradient as a Kalman Filter

1 March 2017

Papers citing "Online Natural Gradient as a Kalman Filter"

9 / 9 papers shown

Title
Spectral and Temporal Denoising for Differentially Private Optimization Hyeju Shin Kyudan Jung Seongwon Yun Juyoung Yun 38 0 0 07 May 2025
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 62 1 0 31 May 2024
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 21 17 0 21 Feb 2023
Gaussian Pre-Activations in Neural Networks: Myth or Reality? Pierre Wolinski Julyan Arbel AI4CE 76 8 0 24 May 2022
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization Frederik Benzing ODL 43 23 0 28 Jan 2022
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 63 73 0 09 Jul 2021
Information-geometry of physics-informed statistical manifolds and its use in data assimilation F. Boso D. Tartakovsky AI4CE 47 8 0 01 Mar 2021
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 27 70 0 13 Jun 2019
Trust Region Value Optimization using Kalman Filtering Shirli Di-Castro Shashua Shie Mannor 19 7 0 23 Jan 2019