https://ahkahng.github.io/ Recent content in Homepage on Anson Kahng Hugo -- gohugo.io en-us https://ahkahng.github.io/docs/group/ Mon, 01 Jan 0001 00:00:00 +0000 https://ahkahng.github.io/docs/group/ Group PhD Students Alina Chadwick (joined Fall 2024) Joe Saber (joined Fall 2023) Rebecca Salganik (joined Spring 2025, joint with Jian Kang) Undergraduate Students Christopher Bruinsma (UR, class of 2023) Quan Luu (UR, class of 2023) Yoo (Daniel) Choi (UR, class of 2024) Chengkai (Kai) Kang (UR, class of 2024) Junfei Liu (UR, class of 2024) Matthew Iceland (UR, class of 2025) Kiet Nguyen (UR, class of 2025) Minh Nguyen (UR, class of 2025) Euan Seow (UR, class of 2026) Milos Bisenic (UR, class of 2026) Miles Frank (UR, class of 2026) Yicheng (Nicho) Wang (UR, class of 2026) Taggart Vales (UR, class of 2026) Hailey Wong-Budiman (UR, class of 2027) https://ahkahng.github.io/docs/publications/ Mon, 01 Jan 0001 00:00:00 +0000 https://ahkahng.github.io/docs/publications/ Publications Conference and Journal Papers Robustness and Feasibility of Voting in Linear Social Choice. (a) Alina Chadwick, Anson Kahng, and Euan Seow. ADT 2026. Position: Regulating Algorithms Is Not Enough. A Study of Content Discovery in Online Platforms Rebecca Salganik, Guillaume Salha-Galvan, Adelaida Afilipoaie, Gustavo Ferreira, Valdy Wiratama, Anson Kahng, Jian Kang, and Heritiana Ranaivoson ICML 2026. Dutch Books and Money Pumps: Rectifying Vulnerabilities in LLMs Through Rationality. (a) Alina Chadwick, Anson Kahng, and Jens Kipper. https://ahkahng.github.io/docs/teaching/ Mon, 01 Jan 0001 00:00:00 +0000 https://ahkahng.github.io/docs/teaching/ Teaching Fall 2025: DSCC/CSC/TCS 462. Computational Introduction to Statistics. Fall 2025: CSC 289/489. Algorithmic Game Theory. Fall 2024: DSCC/CSC/TCS 462. Computational Introduction to Statistics. Spring 2024: CSC 289/489. Algorithmic Game Theory. Fall 2023: DSCC/CSC/TCS 462. Computational Introduction to Statistics. Spring 2023: CSC 289/489. Algorithmic Game Theory. Fall 2022: DSCC/CSC/TCS 462. Computational Introduction to Statistics.