James Bailie

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Performative Learning Theory. CoRR Julian Rodemann, Unai Fischer Abaigar, James Bailie, Krikamol Muandet
2026	J	`jnl`	Persuasive Privacy. CoRR Joshua J. Bon, James Bailie, Judith Rousseau, Christian P. Robert
2025	J	`jnl`	A Refreshment Stirred, Not Shaken (II): Invariant-Preserving Deployments of Differential Privacy for the US Decennial Census. CoRR James Bailie, Ruobin Gong, Xiao-Li Meng
2025	J	`jnl`	A Refreshment Stirred, Not Shaken (III): Can Swapping Be Differentially Private? CoRR James Bailie, Ruobin Gong, Xiao-Li Meng
2025	J	`jnl`	Generalization Bounds and Stopping Rules for Learning with Self-Selected Data. CoRR Julian Rodemann, James Bailie
2025	J	`jnl`	Property Elicitation on Imprecise Probabilities. CoRR James Bailie, Rabanus Derr
2025	J	`jnl`	The Five Safes as a Privacy Context. CoRR James Bailie, Ruobin Gong
2025	J	`jnl`	Why Data Anonymization Has Not Taken Off. CoRR Matthew J. Schneider, James Bailie, Dawn Iacobucci
2024	J	`jnl`	General inferential limits under differential and Pufferfish privacy. Int. J. Approx. Reason. James Bailie, Ruobin Gong
2024	J	`jnl`	Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery. CoRR Mohammad Kakooei, James Bailie, Albin Söderberg, Albin Becevic, Adel Daoud
2024	J	`jnl`	The Complexities of Differential Privacy for Survey Data. CoRR Jörg Drechsler, James Bailie
2023	—	`conf`	Differential privacy: general inferential limits via intervals of measures. ISIPTA James Bailie, Ruobin Gong