2 citations · 2 across the 7 of their papers we have counts for
7 papers
Distributed Gradient Clustering: Convergence and the Effect of Initialization
Aleksandar Armacki, Himkant Sharma, Dragana Bajović +3
We study the effects of center initialization on the performance of a family of distributed gradient-based clustering algorithms introduced in [1], that work over connected network…
Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization
Aleksandar Armacki, Dragana Bajović, Dušan Jakovetić +2
The study of tail behaviour of SGD-induced processes has been attracting a lot of interest, due to offering strong guarantees with respect to individual runs of an algorithm. While…
Safe Driving in Occluded Environments
Zhuoyuan Wang, Tongyao Jia, Pharuj Rajborirug +5
Ensuring safe autonomous driving in the presence of occlusions poses a significant challenge in its policy design. While existing model-driven control techniques based on set invar…
Sharp High-Probability Rates for Nonlinear SGD under Heavy-Tailed Noise via Symmetrization
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic +1
We study convergence in high-probability of SGD-type methods in non-convex optimization and the presence of heavy-tailed noise. To combat the heavy-tailed noise, a general black-bo…
Distributed gradient methods under heavy-tailed communication noise
Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic +1
We consider a standard distributed optimization problem in which networked nodes collaboratively minimize the sum of their locally known convex costs. For this setting, we address…
Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence
Shuhua Yu, Dusan Jakovetic, Soummya Kar
Heavy-tailed noise in nonconvex stochastic optimization has garnered increasing research interest, as empirical studies, including those on training attention models, suggest it is…
Distributed Truncated Predictive Control for Networked Systems under Uncertainty: Stability and Near-Optimality Guarantee
Eric Xu, Soummya Kar, Guannan Qu
We study the problem of distributed online control of networked systems with time-varying cost functions and disturbances, where each node only has local information of the states…