Yiding Chen

3 papers Cornell University

• A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
• Avoiding exp(R) scaling in RLHF through Preference-based Exploration
• Scaling Offline RL via Efficient and Expressive Shortcut Models