2 papers
cs.LG2024
Federated Offline Policy Learning
Aldo Gael Carranza, Susan Athey
We consider the problem of learning personalized decision policies from observational bandit feedback data across multiple heterogeneous data sources. In our approach, we introduce…
cs.CL2024
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
Aldo Gael Carranza, Rezsa Farahani, Natalia Ponomareva +3
We address the challenge of ensuring differential privacy (DP) guarantees in training deep retrieval systems. Training these systems often involves the use of contrastive-style los…