activity
20142026
most citedInformation Relaxations and Dynamic Zero-Sum Games

4 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2026

When Stress Tests Miss the Risk: Statistical Scenario Analysis for Financial Portfolios

Zhongze Cai, Martin B. Haugh, Xiaocheng Li

Scenario analysis is widely used to stress test financial portfolios, yet conventional approaches often summarize scenario gains using point estimates that overlook dependence betw…

stat.AP2023

An Empirical Bayes Approach for Estimating Skill Models for Professional Darts Players

Martin B. Haugh, Chun Wang

We perform an exploratory data analysis on a data-set for the top 16 professional darts players from the 2019 season. We use this data-set to fit player skill models which can then…

cs.LG2022★ 1 cited

Counterfactual Analysis in Dynamic Latent State Models

Martin Haugh, Raghav Singal

We provide an optimization-based framework to perform counterfactual analysis in a dynamic model with hidden states. Our framework is grounded in the ``abduction, action, and predi…

math.OC2022

Wasserstein Logistic Regression with Mixed Features

Aras Selvi, Mohammad Reza Belbasi, Martin B Haugh +1

Recent work has leveraged the popular distributionally robust optimization paradigm to combat overfitting in classical logistic regression. While the resulting classification schem…

stat.AP2020★ 1 cited

Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game

Martin B. Haugh, Chun Wang

The game of darts has enjoyed great growth over the past decade with the perception of darts moving from that of a pub game to a game that is regularly scheduled on prime-time tele…

cs.GT2014★ 4 cited

Information Relaxations and Dynamic Zero-Sum Games

Martin Haugh, Chun Wang

Dynamic zero-sum games are an important class of problems with applications ranging from evasion-pursuit and heads-up poker to certain adversarial versions of control problems such…