The structure of symmetric n-player games when influence and independence collide. - Denali Molitor; Mike A. Steel; Amelia Taylor (Adv. Appl. Math., 2015)

Matrix Completion for Structured Observations. - Denali Molitor; Deanna Needell (ITA, 2018)

Model Agnostic Supervised Local Explanations. - Gregory Plumb; Denali Molitor; Ameet Talwalkar (NeurIPS, 2018)

Supervised Local Modeling for Interpretability. - Gregory Plumb; Denali Molitor; Ameet Talwalkar (CoRR, 2018)

An iterative method for classification of binary data. - Denali Molitor; Deanna Needell (CoRR, 2018)

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. - Mengdi Gao; Jamie Haddock; Denali Molitor; Deanna Needell; Eli Sadovnik; Tyler Will; Runyu Zhang (CAMSAP, 2019)

Hierarchical Classification Using Binary Data. - Denali Molitor; Deanna Needell (AI Mag., 2019)

Bias of Homotopic Gradient Descent for the Hinge Loss. - Denali Molitor; Deanna Needell; Rachel A. Ward (CoRR, 2019)

Adaptive Sketch-and-Project Methods for Solving Linear Systems. - Robert M. Gower; Denali Molitor; Jacob D. Moorman; Deanna Needell (CoRR, 2019)

Randomized Kaczmarz with Averaging. - Jacob D. Moorman; Thomas K. Tu; Denali Molitor; Deanna Needell (CoRR, 2020)

Randomized Kaczmarz for Tensor Linear Systems. - Anna Ma; Denali Molitor (CoRR, 2020)

On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics. - Lara Kassab; Alona Kryshchenko; Hanbaek Lyu; Denali Molitor; Deanna Needell; Elizaveta Rebrova (CoRR, 2020)

Analysis of Legal Documents via Non-negative Matrix Factorization Methods. - Ryan Budahazy; Lu Cheng 005; Yihuan Huang; Andrew Johnson; Pengyu Li; Joshua Vendrow; Zhoutong Wu; Denali Molitor; Elizaveta Rebrova; Deanna Needell (CoRR, 2021)

On Adaptive Sketch-and-Project for Solving Linear Systems. - Robert M. Gower; Denali Molitor; Jacob D. Moorman; Deanna Needell (SIAM J. Matrix Anal. Appl., 2021)

Inference of Media Bias and Content Quality Using Natural-Language Processing. - Zehan Chao; Denali Molitor; Deanna Needell; Mason A. Porter (CoRR, 2022)

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. - Tyler Will; Runyu Zhang; Eli Sadovnik; Mengdi Gao; Joshua Vendrow; Jamie Haddock; Denali Molitor; Deanna Needell (CoRR, 2023)

Structural Equivalence in Subgraph Matching. - Dominic Yang; Yurun Ge; Thien Nguyen 004; Denali Molitor; Jacob D. Moorman; Andrea L. Bertozzi (IEEE Trans. Netw. Sci. Eng., 2023)

Massively Scalable Inverse Reinforcement Learning in Google Maps. - Matt Barnes 001; Matthew Abueg; Oliver F. Lange; Matt Deeds; Jason Trader; Denali Molitor; Markus Wulfmeier; Shawn O'Banion (ICLR, 2024)

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales. - Lara Kassab; Alona Kryshchenko; Hanbaek Lyu; Denali Molitor; Deanna Needell; Elizaveta Rebrova; Jiahong Yuan (Frontiers Appl. Math. Stat., 2024)