Jack Jewson

According to our database1, Jack Jewson authored at least 10 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference.
J. Mach. Learn. Res., 2022

Mitigating statistical bias within differentially private synthetic data.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale.
CoRR, 2021

Foundations of Bayesian Learning from Synthetic Data.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019
Generalized Variational Inference.
CoRR, 2019

2018
A comment on the Duckworth-Lewis-Stern method.
J. Oper. Res. Soc., 2018

Principles of Bayesian Inference Using General Divergence Criteria.
Entropy, 2018

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences.
CoRR, 2018

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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