Uthaipon Tantipongpipat

17 papers A* 4Journal 12
YearRankTypeTitle / Venue / Authors
2023 J jnl
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.
Patterns
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
2022 J jnl
County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline.
CoRR
Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt
2022 J jnl
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics.
CoRR
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury
2022 J jnl
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.
Patterns
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
2021 A* conf
Fast and Memory Efficient Differentially Private-SGD via JL Projections.
NeurIPS
Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
2021 J jnl
Fast and Memory Efficient Differentially Private-SGD via JL Projections.
CoRR
Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
2021 J jnl
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency.
CoRR
Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra
2021 J jnl
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency.
Proc. ACM Hum. Comput. Interact.
Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra
2020 — —
Fair and Diverse Data Representation in Machine Learning.
Uthaipon Tantipongpipat
2020 A* conf
Maximizing Determinants under Matroid Constraints.
FOCS
Vivek Madan, Aleksandar Nikolov, Mohit Singh, Uthaipon Tantipongpipat
2020 J jnl
Maximizing Determinants under Matroid Constraints.
CoRR
Vivek Madan, Aleksandar Nikolov, Mohit Singh, Uthaipon Tantipongpipat
2020 J jnl
λ-Regularized A-Optimal Design and its Approximation by λ-Regularized Proportional Volume Sampling.
CoRR
Uthaipon Tantipongpipat
2019 A* conf
Combinatorial Algorithms for Optimal Design.
COLT
Vivek Madan, Mohit Singh, Uthaipon Tantipongpipat, Weijun Xie
2019 J jnl
Differentially Private Mixed-Type Data Generation For Unsupervised Learning.
CoRR
Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings
2019 A* conf
Multi-Criteria Dimensionality Reduction with Applications to Fairness.
NeurIPS
Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh, Jamie Morgenstern, Santosh S. Vempala
2018 J jnl
Differential Privacy for Growing Databases.
CoRR
Rachel Cummings, Sara Krehbiel, Kevin A. Lai, Uthaipon Tantipongpipat
2014 J jnl
A Combinatorial Approach to Ebert's Hat Game with Many Colors.
Electron. J. Comb.
Uthaipon Tantipongpipat