1. NeurIPS-W
    Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting
    Xinran Zhu, Jacob R. Gardner, and David Bindel
    In NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, Decision-making Systems 2022
  2. PMBS
    ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments
    Adrian P Dieguez, Min Choi, Xinran Zhu, Bryan M Wong, and Khaled Z Ibrahim
    In 2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) 2022
  3. PP
    GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications
    In Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing 2022


  1. NeurIPS
    Scaling Gaussian Processes with Derivative Information Using Variational Inference
    Misha A Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, and David Bindel
    In Advances in Neural Information Processing Systems 2021
  2. PPoPP
    GPTune: multitask learning for autotuning exascale applications
    In Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming 2021