PUBLICATIONS
Eric Aaron, Ursula Hebert-Johnson, Danny Krizanc, and Daniel Lokshtanov. Min-Max Coverage Problems on Tree-Like Metrics. Latin-American Algorithms, Graphs and Optimization Symposium (LAGOS), 2023. Ursula Hebert-Johnson, Daniel Lokshtanov, and Eric Vigoda. Counting and Sampling Labeled Chordal Graphs in Polynomial Time. European Symposium on Algorithms (ESA), 2023. Best ESA Paper Award. Ursula Hebert-Johnson, Chinmay Sonar, Subhash Suri, and Vaishali Surianarayanan. Anonymity-Preserving Space Partitions. International Symposium on Algorithms and Computation (ISAAC), 2021. Ursula Hebert-Johnson, Michael Kim, Omer Reingold, and Guy Rothblum. Multicalibration for the (Computationally-Identifiable) Masses. International Conference on Machine Learning (ICML), 2018. Kyle Hawkins, Ursula Hebert-Johnson, and Benjamin Mathes. The Fibonacci Identities of Orthogonality. Linear Algebra and Its Applications, 475, 80-89, 2015. , |