Nathan Wycoff

Orcid: 0000-0002-0336-7401

According to our database1, Nathan Wycoff authored at least 12 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Voronoi Candidates for Bayesian Optimization.
CoRR, 2024

2023
Surrogate Active Subspaces for Jump-Discontinuous Functions.
CoRR, 2023

2022
A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization.
ACM Trans. Evol. Learn. Optim., 2022

Sensitivity Prewarping for Local Surrogate Modeling.
Technometrics, 2022

Triangulation candidates for Bayesian optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Sequential Learning of Active Subspaces.
J. Comput. Graph. Stat., 2021

Neko: a Library for Exploring Neuromorphic Learning Rules.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020
Towards On-Chip Bayesian Neuromorphic Learning.
CoRR, 2020

2019
Interactive Visual Analytics for Sensemaking with Big Text.
Big Data Res., 2019

Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.
Proceedings of the International Conference on Neuromorphic Systems, 2019

2018
Be the Data: Embodied Visual Analytics.
IEEE Trans. Learn. Technol., 2018

2015
Big Text Visual Analytics in Sensemaking.
Proceedings of the Big Data Visual Analytics, 2015


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