Yifang Chen

According to our database, Yifang Chen authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters.

Yiping Wang, Hanxian Huang, Yifang Chen, Jishen Zhao, Simon Shaolei Du, Yuandong Tian

CoRR, February, 2025

2024

Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning.

Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin G. Jamieson, Simon Shaolei Du, Yelong Shen

CoRR, 2024

Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning.

Yiping Wang, Yifang Chen, Wendan Yan, Kevin G. Jamieson, Simon Shaolei Du

CoRR, 2024

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning.

Yiping Wang, Yifang Chen, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin G. Jamieson, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Decoding-Time Language Model Alignment with Multiple Objectives.

Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hanna Hajishirzi, Noah A. Smith, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning.

Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak

CoRR, 2023

Active representation learning for general task space with applications in robotics.

Yifang Chen, Yingbing Huang, Simon S. Du, Kevin G. Jamieson, Guanya Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Active Multi-Task Representation Learning via Lasso.

Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du

Proceedings of the International Conference on Machine Learning, 2023

2022

Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes.

Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin G. Jamieson

Proceedings of the International Conference on Machine Learning, 2022

First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach.

Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin G. Jamieson

Proceedings of the International Conference on Machine Learning, 2022

Active Multi-Task Representation Learning.

Yifang Chen, Kevin G. Jamieson, Simon S. Du

Proceedings of the International Conference on Machine Learning, 2022

2021

Corruption Robust Active Learning.

Yifang Chen, Simon S. Du, Kevin G. Jamieson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improved Corruption Robust Algorithms for Episodic Reinforcement Learning.

Yifang Chen, Simon S. Du, Kevin Jamieson

Proceedings of the 38th International Conference on Machine Learning, 2021