Simon Mak

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Predictive Accuracy

Point Processes

Robust Principal Component Analysis

Top Venues

Stat. Anal. Data Min.

SIAM/ASA J. Uncertain. Quantification

Publications

Kevin Li, Max Balakirsky, Simon Mak
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression. AISTATS (2024)
Yi Ji, Henry Shaowu Yuchi, Derek Soeder, Jean-François Paquet, Steffen A. Bass, V. Roshan Joseph, C. F. Jeff Wu, Simon Mak
Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions. SIAM/ASA J. Uncertain. Quantification 12 (2) (2024)
John Joshua Miller, Simon Mak
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters. CoRR (2024)
Chih-Li Sung, Yi (irene) Ji, Simon Mak, Wenjia Wang, Tao Tang
Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy. SIAM/ASA J. Uncertain. Quantification 12 (1) (2024)
Yi Ji, Simon Mak, Ryan Lekivetz, Joseph Morgan
BayesFLo: Bayesian fault localization of complex software systems. CoRR (2024)
Yi Ji, Simon Mak, Derek Soeder, Jean-François Paquet, Steffen A. Bass
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions. Technometrics 66 (2) (2024)
Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie
: Robust Principal Component Analysis for Exponential Family Distributions. Stat. Anal. Data Min. 17 (2) (2024)
Stephen Hahn, Jerry Yin, Rico Zhu, Weihan Xu, Yue Jiang, Simon Mak, Cynthia Rudin
SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization. KDD (2024)
Yi Ji, Ryan Lekivetz, Simon Mak, Joseph Morgan
BayesFLo: Bayesian Fault Localization for Software Testing. QRS Companion (2023)
Kevin Li, Max Balakirsky, Simon Mak
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression. CoRR (2023)
Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis. Technometrics 65 (2) (2023)
Kevin Li, Simon Mak, J.-F. Paquet, Steffen A. Bass
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma. CoRR (2023)
Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
Sequential Change-Point Detection for Mutually Exciting Point Processes. Technometrics 65 (1) (2023)
Stephen Hahn, Rico Zhu, Simon Mak, Cynthia Rudin, Yue Jiang
An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation. KDD (2023)
Tao Tang, Simon Mak, David B. Dunson
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery. CoRR (2023)
Ruda Zhang, Simon Mak, David B. Dunson
Gaussian Process Subspace Prediction for Model Reduction. SIAM J. Sci. Comput. 44 (3) (2022)
Chaofan Huang, V. Roshan Joseph, Simon Mak
Population Quasi-Monte Carlo. J. Comput. Graph. Stat. 31 (3) (2022)
Simon Mak, Yuanshuo Zhao, Lavonne Hoang, C. F. Jeff Wu
TSEC: A Framework for Online Experimentation under Experimental Constraints. Technometrics 64 (4) (2022)
Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
Sequential change-point detection for mutually exciting point processes over networks. CoRR (2021)
Yunyao Zhu, Stephen Hahn, Simon Mak, Yue Jiang, Cynthia Rudin
BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization for Four-part Baroque Chorales. CoRR (2021)
Simon Mak, Yuanshuo Zhou, Lavonne Hoang, C. F. Jeff Wu
TSEC: a framework for online experimentation under experimental constraints. CoRR (2021)
V. Roshan Joseph, Simon Mak
Supervised compression of big data. Stat. Anal. Data Min. 14 (3) (2021)
Ruda Zhang, Simon Mak, David Dunson
Gaussian Process Subspace Regression for Model Reduction. CoRR (2021)
Jialei Chen, Simon Mak, V. Roshan Joseph, Chuck Zhang
Function-on-Function Kriging, With Applications to Three-Dimensional Printing of Aortic Tissues. Technometrics 63 (3) (2021)
Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
Uncertainty Quantification for Inferring Hawkes Networks. CoRR (2020)
Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
Uncertainty Quantification for Inferring Hawkes Networks. NeurIPS (2020)
Arvind Krishna, Simon Mak, Roshan Joseph
Distributional Clustering: A distribution-preserving clustering method. CoRR (2019)
Simon Mak, C. F. Jeff Wu
Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization. Technometrics 61 (4) (2019)
Yu-Hung Chang, Liwei Zhang, Xingjian Wang, Shiang-Ting Yeh, Simon Mak, Chih-Li Sung, C. F. Jeff Wu, Vigor Yang
Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics. CoRR (2018)
Simon Mak, Yao Xie
Maximum Entropy Low-Rank Matrix Recovery. ISIT (2018)
Simon Mak, Yao Xie
Maximum Entropy Low-Rank Matrix Recovery. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Shiang-Ting Yeh, Xingjian Wang, Chih-Li Sung, Simon Mak, Yu-Hung Chang, Liwei Zhang, C. F. Jeff Wu, Vigor Yang
Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design Exploration. CoRR (2017)
Simon Mak, Yao Xie
Maximum entropy low-rank matrix recovery. CoRR (2017)