Jack Jewson

12 papers A* 2A 2Journal 8
YearRankTypeTitle / Venue / Authors
2023 A* conf
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling.
NeurIPS
Jack Jewson, Sahra Ghalebikesabi, Chris C. Holmes
2023 J jnl
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling.
CoRR
Jack Jewson, Sahra Ghalebikesabi, Chris C. Holmes
2022 J jnl
An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference.
J. Mach. Learn. Res.
Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2022 A conf
Mitigating statistical bias within differentially private synthetic data.
UAI
Sahra Ghalebikesabi, Harry Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes
2021 J jnl
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale.
CoRR
Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes
2021 A conf
Foundations of Bayesian Learning from Synthetic Data.
AISTATS
Harrison Wilde, Jack Jewson, Sebastian J. Vollmer, Chris C. Holmes
2020 J jnl
Foundations of Bayesian Learning from Synthetic Data.
CoRR
Harrison Wilde, Jack Jewson, Sebastian J. Vollmer, Chris C. Holmes
2019 J jnl
Generalized Variational Inference.
CoRR
Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2018 J jnl
A comment on the Duckworth-Lewis-Stern method.
J. Oper. Res. Soc.
Jack Jewson, Simon French
2018 A* conf
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences.
NeurIPS
Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2018 J jnl
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences.
CoRR
Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2018 J jnl
Principles of Bayesian Inference Using General Divergence Criteria.
Entropy
Jack Jewson, Jim Q. Smith, Chris C. Holmes
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski