## __ Journal Articles __

Testing for dense subsets in a graph via the partition function (2020)
(with A. Barvinok)
* SIAM Journal on Discrete Mathematics, 2020*

__ Preprints & Conference Papers __

Using GANs to Generate Private Synthetic Data (2023)
* Technical Report *

Traversal Sequences of Breadth-First and
Depth-First Search (2022)
* Preprint *

A Partition Function on the Boolean Cube (2020)
* Preprint *

Community Detection Through Polynomials (2017)
(with N. Charalambides)
* Presented at the Michigan Institute for Data Science (MIDAS) Research Forum *

Bergman Kernel Zeroes for a Range of Weights (2014)
* Presented at the 34th Annual WKU Math Symposium *

__ Conference Slides __

Comparison of Machine Learning Models for Fraud Detection in Credit Card Transactions (2021)
(with R. Mokhlissi, and M. Salinger)
* Presented at ErdÅ‘s Institute Data Science Bootcamp*

Counting Cliques with Polynomials (2020)
* Presented at 2nd Annual Mathematics Continued Conference, University of Connecticut *

Approximating Partition Functions (2019)
* Presented at Student Analysis Seminar, University of Michigan *

Kernel Spaces in Machine Learning and Regret Analysis of Multi-Armed Bandits (2016)
* Presented at Student AIM seminar, University of Michigan *

__ Notes __

Approximate Aggergation of Ranking Data (2021)
(with Z. Zhang)

Higher Algebra and Semi-Definite Programming (2020)

Functional Data, Differential Privacy, and Machine Learning (2018)

Notes on Self-Concordant Barrier Functions in Machine Learning (2017)

Weak Convergence in Probability (2016)
(with O. Khalil, R. Luo, and X. Huang)