Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- Robert Alison
- Anthony Stephenson
- et al.
- 2023
- NeurIPS 2023
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31 results for Edward Pyzer-Knapp
Privacy-preserving gaussian process regression - a modular approach to the application of homomorphic encryption
- Peter Fenner
- Edward O. Pyzer-Knapp
- 2020
- AAAI 2020
A fast machine learning workflow for rapid phenotype prediction from whole shotgun metagenomes
- Anna Paola Carrieri
- Will P. M. Rowe
- et al.
- 2019
- AAAI 2019
Parallel and distributed thompson sampling for large-scale accelerated exploration of chemical space
- José Miguel Hernández-Lobato
- James Requeima
- et al.
- 2017
- ICML 2017
Distributional Actor-Critic for Risk-Sensitive Multi-Agent Reinforcement Learning
- Ngoc Lan Hoang
- Edward Pyzer-Knapp
- 2019
- NeurIPS 2019
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019
A multi-fidelity machine learning approach to high throughput materials screening
- Clyde Fare
- Peter Fenner
- et al.
- 2022
- npj Computational Materials
Accelerating materials discovery using artificial intelligence, high performance computing and robotics
- Edward O. Pyzer-Knapp
- Jed W. Pitera
- et al.
- 2022
- npj Computational Materials
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- 2022
- PLoS ONE
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences
- Anna Paola Carrieri
- Niina Haiminen
- et al.
- 2021
- Scientific Reports