| The price of fair pca: One extra dimension S Samadi, U Tantipongpipat, JH Morgenstern, M Singh, S Vempala Advances in neural information processing systems 31, 2018 | 189 | 2018 |
| Image cropping on twitter: Fairness metrics, their limitations, and the importance of representation, design, and agency K Yee, U Tantipongpipat, S Mishra Proceedings of the ACM on human-computer interaction 5 (CSCW2), 1-24, 2021 | 68 | 2021 |
| Proportional Volume Sampling and Approximation Algorithms for -Optimal Design A Nikolov, M Singh, U Tantipongpipat Mathematics of Operations Research 47 (2), 847-877, 2022 | 67 | 2022 |
| Multi-criteria dimensionality reduction with applications to fairness U Tantipongpipat, S Samadi, M Singh, JH Morgenstern, S Vempala Advances in neural information processing systems 32, 2019 | 57* | 2019 |
| Differential privacy for growing databases R Cummings, S Krehbiel, KA Lai, U Tantipongpipat Advances in Neural Information Processing Systems 31, 2018 | 53 | 2018 |
| Fast and memory efficient differentially private-sgd via jl projections Z Bu, S Gopi, J Kulkarni, YT Lee, H Shen, U Tantipongpipat Advances in Neural Information Processing Systems 34, 19680-19691, 2021 | 47 | 2021 |
| Combinatorial algorithms for optimal design V Madan, M Singh, U Tantipongpipat, W Xie Conference on Learning Theory, 2210-2258, 2019 | 41 | 2019 |
| Differentially private synthetic mixed-type data generation for unsupervised learning U Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings arXiv preprint arXiv:1912.03250, 2019 | 29 | 2019 |
| Differentially private synthetic mixed-type data generation for unsupervised learning UT Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings Intelligent Decision Technologies 15 (4), 779-807, 2021 | 27 | 2021 |
| Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics T Lazovich, L Belli, A Gonzales, A Bower, U Tantipongpipat, K Lum, ... Patterns 3 (8), 2022 | 25 | 2022 |
| Maximizing determinants under matroid constraints V Madan, A Nikolov, M Singh, U Tantipongpipat 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020 | 11 | 2020 |
| County-level algorithmic audit of racial bias in twitter's home timeline L Belli, K Yee, U Tantipongpipat, A Gonzales, K Lum, M Hardt arXiv preprint arXiv:2211.08667, 2022 | 6 | 2022 |
| A combinatorial approach to Ebert's hat game with many colors U Tantipongpipat The Electronic Journal of Combinatorics 21 (4), P4. 33, 2014 | 4 | 2014 |
| -Regularized A-Optimal Design and its Approximation by -Regularized Proportional Volume Sampling U Tantipongpipat arXiv preprint arXiv:2006.11182, 2020 | 2 | 2020 |
| Differentially Private Synthetic Data Generation via GANs D Boob, R Cummings, D Kimpara, U Tantipongpipat, C Waites, ... UnlinkableDataChallenge/round/358/entry/20533, 2018 | 1 | 2018 |
| Fair and Diverse Data Representation in Machine Learning. U Tantipongpipat Georgia Institute of Technology, Atlanta, GA, USA, 2020 | | 2020 |
| Private Synthetic Data Generation via GANs (Supporting PDF) D Boob, R Cummings, D Kimpara, UT Tantipongpipat, C Waites, ... | | 2018 |
| Cameron-Liebler line classes and partial difference sets U Tantipongipat | | 2016 |
| FAST DIFFERENTIALLY PRIVATE-SGD VIA JL PROJECTIONS Z Bu, S Gopi, J Kulkarni, YT Lee, U Tantipongpipat | | |
Mohit SinghProfessor, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
