activity
20082024
most citedOptimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

257 citations · 1.4k across the 55 of their papers we have counts for

collaborators

64 papers

math.OC2024★ 2 cited

Zeroth-Order Non-Convex Optimization for Cooperative Multi-Agent Systems with Diminishing Step Size and Smoothing Radius

Xinran Zheng, Tara Javidi, Behrouz Touri

We study a class of zeroth-order distributed optimization problems, where each agent can control a partial vector and observe a local cost that depends on the joint vector of all a…

cs.LG2023

SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection

Nasimeh Heydaribeni, Ruisi Zhang, Tara Javidi +2

In this work, we introduce SureFED, a novel framework for byzantine robust federated learning. Unlike many existing defense methods that rely on statistically robust quantities, ma…

stat.ML2022★ 3 cited

Decentralized Competing Bandits in Non-Stationary Matching Markets

Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran +2

Understanding complex dynamics of two-sided online matching markets, where the demand-side agents compete to match with the supply-side (arms), has recently received substantial in…

cs.LG2022

Instance-Dependent Regret Analysis of Kernelized Bandits

Shubhanshu Shekhar, Tara Javidi

We study the kernelized bandit problem, that involves designing an adaptive strategy for querying a noisy zeroth-order-oracle to efficiently learn about the optimizer of an unknown…

stat.ML2021★ 1 cited

Open Problem: Tight Online Confidence Intervals for RKHS Elements

Sattar Vakili, Jonathan Scarlett, Tara Javidi

Confidence intervals are a crucial building block in the analysis of various online learning problems. The analysis of kernel based bandit and reinforcement learning problems utili…

math.OC2021

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…