5 citations · 10 across the 15 of their papers we have counts for
25 papers
A Note on Optimal Tokamak Control for Fusion Power Simulation
M. Holst, V. Kungurtsev, S. Mukherjee
The Tokamak device is the most promising candidate for producing sustainable electric power by nuclear fusion. It is a torus-shaped device that confines plasma by a strong magnetic…
Jump-Diffusion Langevin Dynamics for Multimodal Posterior Sampling
Jacopo Guidolin, Vyacheslav Kungurtsev, Ondřej Kuželka
Bayesian methods of sampling from a posterior distribution are becoming increasingly popular due to their ability to precisely display the uncertainty of a model fit. Classical met…
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
Saeed Vahidian, Mahdi Morafah, Weijia Wang +4
Clustered federated learning (FL) has been shown to produce promising results by grouping clients into clusters. This is especially effective in scenarios where separate groups of…
Scaling the Wild: Decentralizing Hogwild!-style Shared-memory SGD
Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh
Powered by the simplicity of lock-free asynchrony, Hogwilld! is a go-to approach to parallelize SGD over a shared-memory setting. Despite its popularity and concomitant extensions,…
Retraction based Direct Search Methods for Derivative Free Riemannian Optimization
Vyacheslav Kungurtsev, Francesco Rinaldi, Damiano Zeffiro
Direct search methods represent a robust and reliable class of algorithms for solving black-box optimization problems. In this paper, we explore the application of those strategies…
Decentralized Asynchronous Non-convex Stochastic Optimization on Directed Graphs
Vyacheslav Kungurtsev, Mahdi Morafah, Tara Javidi +1
Distributed Optimization is an increasingly important subject area with the rise of multi-agent control and optimization. We consider a decentralized stochastic optimization proble…