Follow
Xinran Zhu
Title
Cited by
Cited by
Year
GPTune: multitask learning for autotuning exascale applications
Y Liu, WM Sid-Lakhdar, O Marques, X Zhu, C Meng, JW Demmel, XS Li
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021
412021
Scaling gaussian processes with derivative information using variational inference
M Padidar, X Zhu, L Huang, J Gardner, D Bindel
Advances in Neural Information Processing Systems 34, 6442-6453, 2021
152021
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications
X Zhu, Y Liu, P Ghysels, D Bindel, XS Li
Proceedings of the 2022 SIAM Conference on Parallel Processing for …, 2022
62022
ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments
AP Dieguez, M Choi, X Zhu, BM Wong, KZ Ibrahim
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking …, 2022
22022
Bayesian Transformed Gaussian Processes
X Zhu, L Huang, EH Lee, CA Ibrahim, D Bindel
Transactions on Machine Learning Research, 2023
12023
Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting
X Zhu, JR Gardner, D Bindel
1*
Variational Gaussian Processes with Decoupled Conditionals
X Zhu, K Wu, N Maus, JR Gardner, D Bindel
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees
A Sorokin, X Zhu, EH Lee, B Cheng
Knowledge-Based Systems 273, 110604, 2023
2023
Scalable Bayesian Transformed Gaussian Processes
X Zhu, L Huang, C Ibrahim, EH Lee, D Bindel
arXiv preprint arXiv:2210.10973, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–9