1 citations · 1 across the 5 of their papers we have counts for
3 papers · 1 filter
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo, Austin Hoag, Xintong Wang +2
Representation learning is increasingly applied to generate representations that generalize well across multiple downstream tasks. Ensuring fairness guarantees in representation le…
Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints
Yaswanth Chittepu, Blossom Metevier, Will Schwarzer +3
Existing approaches to language model alignment often treat safety as a tradeoff against helpfulness, which can lead to unacceptable responses in sensitive domains. To ensure relia…
Learning Fair Representations with High-Confidence Guarantees
Yuhong Luo, Austin Hoag, Philip S. Thomas
Representation learning is increasingly employed to generate representations that are predictive across multiple downstream tasks. The development of representation learning algori…