Uthaipon Tao Tantipongpipat

According to our database, Uthaipon Tao Tantipongpipat authored at least 16 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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

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

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

Fast and Memory Efficient Differentially Private-SGD via JL Projections.

Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning.

Uthaipon Tao Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings

Proceedings of the 12th International Conference on Information, 2021

2020

Fair and Diverse Data Representation in Machine Learning.

Uthaipon Tantipongpipat

PhD thesis, 2020

λ-Regularized A-Optimal Design and its Approximation by λ-Regularized Proportional Volume Sampling.

Uthaipon Tantipongpipat

CoRR, 2020

Maximizing Determinants under Matroid Constraints.

Vivek Madan, Aleksandar Nikolov, Mohit Singh, Uthaipon Tantipongpipat

Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

2019

Differentially Private Mixed-Type Data Generation For Unsupervised Learning.

Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings

CoRR, 2019

Fair Dimensionality Reduction and Iterative Rounding for SDPs.

Jamie Morgenstern, Samira Samadi, Mohit Singh, Uthaipon Tao Tantipongpipat, Santosh S. Vempala

CoRR, 2019

Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design.

Aleksandar Nikolov, Mohit Singh, Uthaipon Tao Tantipongpipat

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Multi-Criteria Dimensionality Reduction with Applications to Fairness.

Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh, Jamie Morgenstern, Santosh S. Vempala

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Combinatorial Algorithms for Optimal Design.

Vivek Madan, Mohit Singh, Uthaipon Tantipongpipat, Weijun Xie

Proceedings of the Conference on Learning Theory, 2019

2018

The Price of Fair PCA: One Extra dimension.

Samira Samadi, Uthaipon Tao Tantipongpipat, Jamie Morgenstern, Mohit Singh, Santosh S. Vempala

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Differential Privacy for Growing Databases.

Rachel Cummings, Sara Krehbiel, Kevin A. Lai, Uthaipon Tao Tantipongpipat

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

A Combinatorial Approach to Ebert's Hat Game with Many Colors.

Uthaipon Tantipongpipat

Electron. J. Comb., 2014