Ali AhmadiTeshnizi — accepted AI-conference papers

2024

OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models

Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell

ICML 2024poster

Optimization problems are pervasive in sectors from manufacturing and distribution to healthcare. However, most such problems are still solved heuristically by hand rather than optimally by state-of-the-art solvers because the expertise required to formulate and solve these problems limits the wides…

Cited by 29 Source ↗PDF ↗code ↗Scholar ↗

2020

LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments

Ali Ahmaditeshnizi, Saber Salehkaleybar, Negar Kiyavash

ICML 2020poster

The causal relationships among a set of random variables are commonly represented by a Directed Acyclic Graph (DAG), where there is a directed edge from variable $X$ to variable $Y$ if $X$ is a direct cause of $Y$. From the purely observational data, the true causal graph can be identified up to a M…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗