| Learning fair representations for kernel models Z Tan, S Yeom, M Fredrikson, A Talwalkar International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020 | 39 | 2020 |
| Tempo: robust and self-tuning resource management in multi-tenant parallel databases Z Tan, S Babu Proceedings of the VLDB Endowment 9 (10), 720-731, 2015 | 38 | 2015 |
| Inferring population structure in biobank-scale genomic data AM Chiu, EK Molloy, Z Tan, A Talwalkar, S Sankararaman The American Journal of Human Genetics 109, 1–11, 2022 | 28 | 2022 |
| Interpreting write performance of supercomputer I/O systems with regression models B Xie, Z Tan, P Carns, J Chase, K Harms, J Lofstead, S Oral, ... 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 16 | 2021 |
| Applying machine learning to understand write performance of large-scale parallel filesystems B Xie, Z Tan, P Carns, J Chase, K Harms, J Lofstead, S Oral, ... 2019 IEEE/ACM Fourth International Parallel Data Systems Workshop (PDSW), 30-39, 2019 | 14 | 2019 |
| Scalable algorithms for learning high-dimensional linear mixed models Z Tan, K Roche, X Zhou, S Mukherjee Conference on Uncertainty in Artificial Intelligence (UAI), 259--268, 2018 | 11 | 2018 |
| Partitioned tensor factorizations for learning mixed membership models Z Tan, S Mukherjee Proceedings of the 34th International Conference on Machine Learning (ICML …, 2017 | 3* | 2017 |
| Learning integral representations of Gaussian processes Z Tan, S Mukherjee arXiv e-prints, 2018 | 2 | 2018 |
Ameet TalwalkarCMU, DatadogVerified email at cmu.edu
