Simon Mak

According to our database, Simon Mak authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions.

Yi Ji, Simon Mak, Derek Soeder, Jean-François Paquet, Steffen A. Bass

Technometrics, April, 2024

<i>e</i>^RPCA: Robust Principal Component Analysis for Exponential Family Distributions.

Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie

Stat. Anal. Data Min., April, 2024

Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy.

Chih-Li Sung, Yi (irene) Ji, Simon Mak, Wenjia Wang, Tao Tang

SIAM/ASA J. Uncertain. Quantification, March, 2024

Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions.

Yi Ji, Henry Shaowu Yuchi, Derek Soeder, Jean-François Paquet, Steffen A. Bass, V. Roshan Joseph, C. F. Jeff Wu, Simon Mak

SIAM/ASA J. Uncertain. Quantification, 2024

A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis.

Stephen Ni-Hahn, Weihan Xu, Jerry Yin, Rico Zhu, Simon Mak, Yue Jiang, Cynthia Rudin

CoRR, 2024

BayesFLo: Bayesian fault localization of complex software systems.

Yi Ji, Simon Mak, Ryan Lekivetz, Joseph Morgan

CoRR, 2024

Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters.

John Joshua Miller, Simon Mak

CoRR, 2024

SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization.

Stephen Hahn, Jerry Yin, Rico Zhu, Weihan Xu, Yue Jiang, Simon Mak, Cynthia Rudin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression.

Kevin Li, Max Balakirsky, Simon Mak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis.

Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie

Technometrics, April, 2023

Sequential Change-Point Detection for Mutually Exciting Point Processes.

Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak

Technometrics, January, 2023

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

Kevin Li, Simon Mak, Jean-François Paquet, Steffen A. Bass

CoRR, 2023

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

Tao Tang, Simon Mak, David B. Dunson

CoRR, 2023

BayesFLo: Bayesian Fault Localization for Software Testing.

Yi Ji, Ryan Lekivetz, Simon Mak, Joseph Morgan

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation.

Stephen Hahn, Rico Zhu, Simon Mak, Cynthia Rudin, Yue Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Population Quasi-Monte Carlo.

Chaofan Huang, V. Roshan Joseph, Simon Mak

J. Comput. Graph. Stat., July, 2022

TSEC: A Framework for Online Experimentation under Experimental Constraints.

Simon Mak, Yuanshuo Zhao, Lavonne Hoang, C. F. Jeff Wu

Technometrics, 2022

Gaussian Process Subspace Prediction for Model Reduction.

Ruda Zhang, Simon Mak, David B. Dunson

SIAM J. Sci. Comput., 2022

2021

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

Jialei Chen, Simon Mak, V. Roshan Joseph, Chuck Zhang

Technometrics, 2021

Supervised compression of big data.

V. Roshan Joseph, Simon Mak

Stat. Anal. Data Min., 2021

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

Yunyao Zhu, Stephen Hahn, Simon Mak, Yue Jiang, Cynthia Rudin

CoRR, 2021

Gaussian Process Subspace Regression for Model Reduction.

Ruda Zhang, Simon Mak, David B. Dunson

CoRR, 2021

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

Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak

CoRR, 2021

TSEC: a framework for online experimentation under experimental constraints.

Simon Mak, Yuanshuo Zhou, Lavonne Hoang, C. F. Jeff Wu

CoRR, 2021

2020

Uncertainty Quantification for Inferring Hawkes Networks.

Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie

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.

Simon Mak, C. F. Jeff Wu

Technometrics, 2019

Distributional Clustering: A distribution-preserving clustering method.

Arvind Krishna, Simon Mak, Roshan Joseph

CoRR, 2019

2018

Maximum Entropy Low-Rank Matrix Recovery.

Simon Mak, Yao Xie

IEEE J. Sel. Top. Signal Process., 2018

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

Yu-Hung Chang, Liwei Zhang, Xingjian Wang, Shiang-Ting Yeh, Simon Mak, Chih-Li Sung, C. F. Jeff Wu, Vigor Yang

CoRR, 2018

2017

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

Shiang-Ting Yeh, Xingjian Wang, Chih-Li Sung, Simon Mak, Yu-Hung Chang, Liwei Zhang, C. F. Jeff Wu, Vigor Yang

CoRR, 2017