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cs.LG2025
Mix- and MoE-DPO: A Variational Inference Approach to Direct Preference Optimization
Jason Bohne, Pawel Polak, David Rosenberg +2
Direct Preference Optimization (DPO) has recently emerged as a simple and effective alternative to reinforcement learning from human feedback (RLHF) for aligning large language mod…
cs.LG2023★ 1 cited
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation
Rodrigo Castellon, Achintya Gopal, Brian Bloniarz +1
The generation of synthetic tabular data that preserves differential privacy is a problem of growing importance. While traditional marginal-based methods have achieved impressive r…