Combinatorial Types of Tropical Eigenvectors. - Bernd Sturmfels; Ngoc Mai Tran (CoRR, 2011)

Polytropes and Tropical Eigenspaces: Cones of Linearity. - Ngoc Mai Tran (Discret. Comput. Geom., 2014)

Tropical Geometry and Mechanism Design. - Robert Alexander Crowell; Ngoc Mai Tran (CoRR, 2016)

HodgeRank Is the Limit of Perron Rank. - Ngoc Mai Tran (Math. Oper. Res., 2016)

Two-player incentive compatible mechanisms are affine maximizers. - Bo Lin; Ngoc Mai Tran (CoRR, 2017)

Classification on Large Networks: A Quantitative Bound via Motifs and Graphons. - Andreas Haupt; Mohammad Khatami; Thomas Schultz 001; Ngoc Mai Tran (CoRR, 2017)

Enumerating polytropes. - Ngoc Mai Tran (J. Comb. Theory A, 2017)

Principal component analysis in an asymmetric norm. - Ngoc Mai Tran; Petra Burdejová; Maria Ospienko; Wolfgang K. Härdle (J. Multivar. Anal., 2019)

Product-Mix Auctions and Tropical Geometry. - Ngoc Mai Tran; Josephine Yu (Math. Oper. Res., 2019)

Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking. - Hanlin Zhu; Xue Li; Liuyang Sun; Fei He; Zhengtuo Zhao; Lan Luan; Ngoc Mai Tran; Chong Xie (CoRR, 2020)

Corrigendum to "Principal component analysis in an asymmetric norm" [J. Multivariate Anal. 171 (2019) 1-21]. - Ngoc Mai Tran; Petra Burdejová; Maria Osipenko; Wolfgang K. Härdle (J. Multivar. Anal., 2020)

Improving random walk rankings with feature selection and imputation Science4cast competition, team Hash Brown. - Ngoc Mai Tran; Yangxinyu Xie (IEEE BigData, 2021)

Causal Discovery of a River Network from its Extremes. - Ngoc Mai Tran; Johannes Buck; Claudia Klüppelberg (CoRR, 2021)

Competitive equilibrium always exists for combinatorial auctions with graphical pricing schemes. - Marie-Charlotte Brandenburg; Christian Haase; Ngoc Mai Tran (CoRR, 2021)

Improving random walk rankings with feature selection and imputation. - Ngoc Mai Tran; Yangxinyu Xie (CoRR, 2021)

The Finite Matroid-Based Valuation Conjecture is False. - Ngoc Mai Tran (SIAM J. Appl. Algebra Geom., 2021)

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (CoRR, 2022)

Stochastic Geometry to Generalize the Mondrian Process. - Eliza O'Reilly; Ngoc Mai Tran (SIAM J. Math. Data Sci., 2022)

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (Nat. Mac. Intell., 2023)

Minimax Rates for High-Dimensional Random Tessellation Forests. - Eliza O'Reilly; Ngoc Mai Tran (J. Mach. Learn. Res., 2024)