Bayesian interpretation of SGD as Ito process

20 November 2019

Papers citing "Bayesian interpretation of SGD as Ito process"

4 / 4 papers shown

Title
Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri Xiao Zhang David Evans MIACV MIALM AAML 85 1 0 17 Jun 2024
Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen Anna Kuzina Babak Esmaeili Jakub M. Tomczak 104 0 0 09 Apr 2024
Hamiltonian Monte Carlo Particle Swarm Optimizer Omatharv Bharat Vaidya Rithvik Terence DSouza Snehanshu Saha S. Dhavala Swagatam Das 83 0 0 08 May 2022
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence Rohan Mohapatra Snehanshu Saha C. Coello Anwesh Bhattacharya S. Dhavala S. Saha ODL 68 21 0 19 May 2020