555 citations · 2.5k across the 105 of their papers we have counts for
5 papers · 2 filters
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs
César A. Uribe, James Z. Hare, Lance Kaplan +1
We study the problem of non-Bayesian social learning with uncertain models, in which a network of agents seek to cooperatively identify the state of the world based on a sequence o…
Robust and Adaptive Sequential Submodular Optimization
Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas
Emerging applications of control, estimation, and machine learning, ranging from target tracking to decentralized model fitting, pose resource constraints that limit which of the a…
Acceleration in First Order Quasi-strongly Convex Optimization by ODE Discretization
Jingzhao Zhang, Suvrit Sra, Ali Jadbabaie
We study gradient-based optimization methods obtained by direct Runge-Kutta discretization of the ordinary differential equation (ODE) describing the movement of a heavy-ball under…
Why gradient clipping accelerates training: A theoretical justification for adaptivity
Jingzhao Zhang, Tianxing He, Suvrit Sra +1
We provide a theoretical explanation for the effectiveness of gradient clipping in training deep neural networks. The key ingredient is a new smoothness condition derived from prac…
Sales-Based Rebate Design
Amir Ajorlou, Ali Jadbabaie
We propose a novel family of sales-based rebate mechanisms that induce network effects in sales of products that do not exhibit such externalities. The proposed rebate mechanisms e…