Christopher Nemeth

According to our database1, Christopher Nemeth authored at least 27 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.
CoRR, 2024

2023
Efficient and generalizable tuning strategies for stochastic gradient MCMC.
Stat. Comput., June, 2023

Sequential estimation of temporally evolving latent space network models.
Comput. Stat. Data Anal., 2023

CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models.
CoRR, 2023

Learning Rate Free Bayesian Inference in Constrained Domains.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates.
Proceedings of the International Conference on Machine Learning, 2023

Preferential Subsampling for Stochastic Gradient Langevin Dynamics.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Transport Elliptical Slice Sampling.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
GaussianProcesses.jl: A Nonparametric Bayes Package for the <i>Julia</i> Language.
J. Stat. Softw., 2022

SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms.
J. Open Source Softw., 2022

2021
Gaussian Processes on Hypergraphs.
CoRR, 2021

Decision Support for Prolonged, and Tactical Combat Casualty Care.
Proceedings of the Human Interface and the Management of Information. Information Presentation and Visualization, 2021

2020
Stein Variational Gaussian Processes.
CoRR, 2020

Training and Decision Support for Battlefield Trauma Care.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Sensitivity Analysis of Input Variables of Shock Detection Model.
Proceedings of the AMIA 2020, 2020

2019
Control variates for stochastic gradient MCMC.
Stat. Comput., 2019

Stochastic Gradient MCMC for Nonlinear State Space Models.
CoRR, 2019

Trauma Care Decision Support Under Fire.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Pseudo-Extended Markov chain Monte Carlo.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Large-Scale Stochastic Sampling from the Probability Simplex.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015
Support for Salience: IT to Assist Burn ICU Clinician Decision Making and Communication.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments.
IEEE Trans. Signal Process., 2014

Support for ICU resilience using Cognitive Systems Engineering to build adaptive capacity.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
Erik Hollnagel: FRAM: The functional resonance analysis method, modeling complex socio-technical systems - 2012, Ashgate, ISBN 978-1-4094-4551-7, Paperback, £20.00, ISBN 978-1-4094-4552-4, Hardcover, £65.00.
Cogn. Technol. Work., 2013

2012
"Rapidized" cognitive task analysis.
IEEE Intell. Syst., 2012

Bearings-only tracking with particle filtering for joint parameter learning and state estimation.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Acquiring cognition: Adding human-centered design to Navy system development.
Proceedings of the IEEE International Conference on Systems, 2011


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