A Combinatorial Approach to Ebert's Hat Game with Many Colors. - Uthaipon Tantipongpipat (Electron. J. Comb., 2014)

Differential Privacy for Growing Databases. - Rachel Cummings; Sara Krehbiel; Kevin A. Lai; Uthaipon Tao Tantipongpipat (NeurIPS, 2018)

The Price of Fair PCA: One Extra dimension. - Samira Samadi; Uthaipon Tao Tantipongpipat; Jamie Morgenstern; Mohit Singh; Santosh S. Vempala (NeurIPS, 2018)

Combinatorial Algorithms for Optimal Design. - Vivek Madan; Mohit Singh; Uthaipon Tantipongpipat; Weijun Xie 001 (COLT, 2019)

Multi-Criteria Dimensionality Reduction with Applications to Fairness. - Uthaipon Tantipongpipat; Samira Samadi; Mohit Singh; Jamie Morgenstern; Santosh S. Vempala (NeurIPS, 2019)

Fair Dimensionality Reduction and Iterative Rounding for SDPs. - Jamie Morgenstern; Samira Samadi; Mohit Singh; Uthaipon Tao Tantipongpipat; Santosh S. Vempala (CoRR, 2019)

Differentially Private Mixed-Type Data Generation For Unsupervised Learning. - Uthaipon Tantipongpipat; Chris Waites; Digvijay Boob; Amaresh Ankit Siva; Rachel Cummings (CoRR, 2019)

Maximizing Determinants under Matroid Constraints. - Vivek Madan; Aleksandar Nikolov; Mohit Singh; Uthaipon Tantipongpipat (FOCS, 2020)

λ-Regularized A-Optimal Design and its Approximation by λ-Regularized Proportional Volume Sampling. - Uthaipon Tantipongpipat (CoRR, 2020)

Fair and Diverse Data Representation in Machine Learning. - Uthaipon Tantipongpipat (2020)

Fast and Memory Efficient Differentially Private-SGD via JL Projections. - Zhiqi Bu; Sivakanth Gopi; Janardhan Kulkarni; Yin Tat Lee; Judy Hanwen Shen; Uthaipon Tantipongpipat (NeurIPS, 2021)

Differentially private synthetic mixed-type data generation for unsupervised learning. - Uthaipon Tao Tantipongpipat; Chris Waites; Digvijay Boob; Amaresh Ankit Siva; Rachel Cummings (Intell. Decis. Technol., 2021)

Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency. - Kyra Yee; Uthaipon Tantipongpipat; Shubhanshu Mishra (Proc. ACM Hum. Comput. Interact., 2021)

County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline. - Luca Belli; Kyra Yee; Uthaipon Tantipongpipat; Aaron Gonzales; Kristian Lum; Moritz Hardt (CoRR, 2022)

Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design. - Aleksandar Nikolov; Mohit Singh; Uthaipon Tao Tantipongpipat (Math. Oper. Res., 2022)

Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. - Tomo Lazovich; Luca Belli; Aaron Gonzales; Amanda Bower; Uthaipon Tantipongpipat; Kristian Lum; Ferenc Huszár; Rumman Chowdhury (Patterns, 2022)