Eric Han

According to our database, Eric Han authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Reinforcement Learning from User Feedback.

Eric Han, Jun Chen, Karthik Abinav Sankararaman, Xiaoliang Peng, Tengyu Xu, Eryk Helenowski, Kaiyan Peng, Mrinal Kumar, Sinong Wang, Han Fang, Arya Talebzadeh

CoRR, May, 2025

dpvis: A Visual and Interactive Learning Tool for Dynamic Programming.

David H. Lee, Aditya Prasad, Ramiro Deo-Campo Vuong, Tianyu Wang, Eric Han, David Kempe

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025

2024

The Perfect Blend: Redefining RLHF with Mixture of Judges.

Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang

CoRR, 2024

8-bit Transformer Inference and Fine-tuning for Edge Accelerators.

Jeffrey Yu, Kartik Prabhu, Yonatan Urman, Robert M. Radway, Eric Han, Priyanka Raina

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2022

Adversarial Attacks on Gaussian Process Bandits.

Eric Han, Jonathan Scarlett

Proceedings of the International Conference on Machine Learning, 2022

2021

High-Dimensional Bayesian Optimization via Tree-Structured Additive Models.

Eric Han, Ishank Arora, Jonathan Scarlett

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021