4 citations · 4 across the 6 of their papers we have counts for
6 papers
Robust Paths: Geometry and Computation
Hao Hao, Peter Zhang
Applying robust optimization often requires selecting an appropriate uncertainty set both in shape and size, a choice that directly affects the trade-off between average-case and w…
OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous Vehicles
Rui Du, Kai Zhao, Jinlong Hou +2
Coordination among connected and autonomous vehicles (CAVs) is advancing due to developments in control and communication technologies. However, much of the current work is based o…
Approximating Multiple Robust Optimization Solutions in One Pass via Proximal Point Methods
Hao Hao, Peter Zhang
Robust optimization provides a principled and unified framework to model many problems in modern operations research and computer science applications, such as risk measures minimi…
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
Julia Wolleb, Florentin Bieder, Paul Friedrich +3
The high performance of denoising diffusion models for image generation has paved the way for their application in unsupervised medical anomaly detection. As diffusion-based method…
Distributionally Robust Principal-Agent Problems and Optimality of Contracts
Peter Zhang
We propose a distributionally robust principal agent formulation, which generalizes some common variants of worst-case and Bayesian principal agent problems. We construct a theoret…
A Data Analysis Technique for the LIGO-ALLEGRO Stochastic Background Search
John T. Whelan, Sukanta Bose, Jonathan Hanson +4
We describe the cross-correlation measurements being carried out on data from the LIGO Livingston Observatory and the ALLEGRO resonant bar detector. The LIGO data are sampled at 16…