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2020 – today
- 2024
[j13]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): 157-181 (2024)- [j12]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): 473-502 (2024) - [j11]Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie:
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions. Stat. Anal. Data Min. 17(2) (2024) - [j10]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): 267-281 (2024) - [c6]Kevin Li, Max Balakirsky, Simon Mak:
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression. AISTATS 2024: 3484-3492 - [c5]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: 5050-5060 - [i15]John Joshua Miller, Simon Mak:
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters. CoRR abs/2403.03816 (2024) - [i14]Yi Ji, Simon Mak, Ryan Lekivetz, Joseph Morgan:
BayesFLo: Bayesian fault localization of complex software systems. CoRR abs/2403.08079 (2024) - [i13]Stephen Ni-Hahn, Weihan Xu, Jerry Yin, Rico Zhu, Simon Mak, Yue Jiang, Cynthia Rudin:
A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis. CoRR abs/2408.07184 (2024) - 2023
- [j9]Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak:
Sequential Change-Point Detection for Mutually Exciting Point Processes. Technometrics 65(1): 44-56 (2023) - [j8]Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie:
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis. Technometrics 65(2): 162-178 (2023) - [c4]Stephen Hahn, Rico Zhu, Simon Mak, Cynthia Rudin, Yue Jiang:
An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation. KDD 2023: 4089-4099 - [c3]Yi Ji, Ryan Lekivetz, Simon Mak, Joseph Morgan:
BayesFLo: Bayesian Fault Localization for Software Testing. QRS Companion 2023: 865-866 - [i12]Tao Tang, Simon Mak, David B. Dunson:
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery. CoRR abs/2302.00755 (2023) - [i11]Kevin Li, Simon Mak, Jean-François Paquet, Steffen A. Bass:
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma. CoRR abs/2306.07299 (2023) - [i10]Kevin Li, Max Balakirsky, Simon Mak:
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression. CoRR abs/2310.14544 (2023) - 2022
- [j7]Chaofan Huang, V. Roshan Joseph, Simon Mak:
Population Quasi-Monte Carlo. J. Comput. Graph. Stat. 31(3): 695-708 (2022) - [j6]Ruda Zhang, Simon Mak, David B. Dunson:
Gaussian Process Subspace Prediction for Model Reduction. SIAM J. Sci. Comput. 44(3): 1428- (2022) - [j5]Simon Mak, Yuanshuo Zhao, Lavonne Hoang, C. F. Jeff Wu:
TSEC: A Framework for Online Experimentation under Experimental Constraints. Technometrics 64(4): 513-523 (2022) - 2021
- [j4]V. Roshan Joseph, Simon Mak:
Supervised compression of big data. Stat. Anal. Data Min. 14(3): 217-229 (2021) - [j3]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): 384-395 (2021) - [i9]Simon Mak, Yuanshuo Zhou, Lavonne Hoang, C. F. Jeff Wu:
TSEC: a framework for online experimentation under experimental constraints. CoRR abs/2101.06592 (2021) - [i8]Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak:
Sequential change-point detection for mutually exciting point processes over networks. CoRR abs/2102.05724 (2021) - [i7]Ruda Zhang, Simon Mak, David B. Dunson:
Gaussian Process Subspace Regression for Model Reduction. CoRR abs/2107.04668 (2021) - [i6]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 abs/2109.07623 (2021) - 2020
- [c2]Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie:
Uncertainty Quantification for Inferring Hawkes Networks. NeurIPS 2020 - [i5]Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie:
Uncertainty Quantification for Inferring Hawkes Networks. CoRR abs/2006.07506 (2020)
2010 – 2019
- 2019
- [j2]Simon Mak, C. F. Jeff Wu:
Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization. Technometrics 61(4): 545-559 (2019) - [i4]Arvind Krishna, Simon Mak, Roshan Joseph:
Distributional Clustering: A distribution-preserving clustering method. CoRR abs/1911.05940 (2019) - 2018
- [j1]Simon Mak, Yao Xie:
Maximum Entropy Low-Rank Matrix Recovery. IEEE J. Sel. Top. Signal Process. 12(5): 886-901 (2018) - [c1]Simon Mak, Yao Xie:
Maximum Entropy Low-Rank Matrix Recovery. ISIT 2018: 361-365 - [i3]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 abs/1802.08812 (2018) - 2017
- [i2]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 abs/1709.07841 (2017) - [i1]Simon Mak, Yao Xie:
Maximum entropy low-rank matrix recovery. CoRR abs/1712.03310 (2017)
Coauthor Index
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last updated on 2024-09-25 01:36 CEST by the dblp team
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