QuIP: Experimental design for expensive simulators with many Qualitative factors via Integer Programming.
CoRR, January, 2025
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions.
Technometrics, April, 2024
<i>e</i><sup>RPCA</sup>: Robust Principal Component Analysis for Exponential Family Distributions.
Stat. Anal. Data Min., April, 2024
Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy.
SIAM/ASA J. Uncertain. Quantification, March, 2024
Hierarchical Shrinkage Gaussian Processes: Applications to Computer Code Emulation and Dynamical System Recovery.
SIAM/ASA J. Uncertain. Quantification, 2024
Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions.
SIAM/ASA J. Uncertain. Quantification, 2024
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators.
CoRR, 2024
Diverse Expected Improvement (DEI): Diverse Bayesian Optimization of Expensive Computer Simulators.
CoRR, 2024
A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis.
CoRR, 2024
BayesFLo: Bayesian fault localization of complex software systems.
CoRR, 2024
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters.
CoRR, 2024
MaLT: Machine-Learning-Guided Test Case Design and Fault Localization of Complex Software Systems.
Proceedings of the 22nd ACM-IEEE International Symposium on Formal Methods and Models for System Design, 2024
SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis.
Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
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
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma.
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
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
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
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
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
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
Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design Exploration.
CoRR, 2017