4 citations · 9 across the 7 of their papers we have counts for
7 papers
Online Poisoning Attacks Against Data-Driven Predictive Control
Yue Yu, Ruihan Zhao, Sandeep Chinchali +1
Data-driven predictive control (DPC) is a feedback control method for systems with unknown dynamics. It repeatedly optimizes a system's future trajectories based on past input-outp…
Inverse Matrix Games with Unique Quantal Response Equilibrium
Yue Yu, Jonathan Salfity, David Fridovich-Keil +1
In an inverse game problem, one needs to infer the cost function of the players in a game such that a desired joint strategy is a Nash equilibrium. We study the inverse game proble…
Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs with Equilibrium Constraints
Yue Yu, Mengyuan Wang, Mehran Mesbahi +1
Urban air mobility is a concept that promotes aerial modes of transport in urban areas. In these areas, the location and capacity of the vertiports--where the travelers embark and…
Proportional-Integral Projected Gradient Method for Conic Optimization
Yue Yu, Purnanand Elango, Ufuk Topcu +1
Conic optimization is the minimization of a differentiable convex objective function subject to conic constraints. We propose a novel primal-dual first-order method for conic optim…
Adaptive Constraint Satisfaction for Markov Decision Process Congestion Games: Application to Transportation Networks
Sarah H. Q. Li, Yue Yu, Nicolas Miguel +3
Under the Markov decision process (MDP) congestion game framework, we study the problem of enforcing population distribution constraints on a population of players with stochastic…
Variable Demand and Multi-commodity Flow in Markovian Network Equilibrium
Yue Yu, Dan Calderone, Sarah H. Q. Li +2
Markovian network equilibrium generalizes the classical Wardrop equilibrium in network games. At a Markovian network equilibrium, each player of the game solves a Markov decision p…
Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations
Yu Ryan Yue, Daniel Simpson, Finn Lindgren +1
The smoothing spline is one of the most popular curve-fitting methods, partly because of empirical evidence supporting its effectiveness and partly because of its elegant mathemati…