Jack Jewson

12 papers A* 2A 2Journal 8

Year	Rank	Type	Title / 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