Simon Mak

Orcid: 0000-0002-5693-7076

According to our database1, Simon Mak authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy.
SIAM/ASA J. Uncertain. Quantification, March, 2024

2023
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis.
Technometrics, April, 2023

Sequential Change-Point Detection for Mutually Exciting Point Processes.
Technometrics, January, 2023

Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression.
CoRR, 2023

Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma.
CoRR, 2023

Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery.
CoRR, 2023

BayesFLo: Bayesian Fault Localization for Software Testing.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Population Quasi-Monte Carlo.
J. Comput. Graph. Stat., July, 2022

TSEC: A Framework for Online Experimentation under Experimental Constraints.
Technometrics, 2022

Gaussian Process Subspace Prediction for Model Reduction.
SIAM J. Sci. Comput., 2022

2021
Function-on-Function Kriging, With Applications to Three-Dimensional Printing of Aortic Tissues.
Technometrics, 2021

Supervised compression of big data.
Stat. Anal. Data Min., 2021

BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization for Four-part Baroque Chorales.
CoRR, 2021

Gaussian Process Subspace Regression for Model Reduction.
CoRR, 2021

Sequential change-point detection for mutually exciting point processes over networks.
CoRR, 2021

TSEC: a framework for online experimentation under experimental constraints.
CoRR, 2021

2020
Uncertainty Quantification for Inferring Hawkes Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization.
Technometrics, 2019

Distributional Clustering: A distribution-preserving clustering method.
CoRR, 2019

2018
Maximum Entropy Low-Rank Matrix Recovery.
IEEE J. Sel. Top. Signal Process., 2018

Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics.
CoRR, 2018

2017
Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design Exploration.
CoRR, 2017


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