Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. - Yifang Chen 001; Simon S. Du; Kevin Jamieson 001 (ICML, 2021)

Corruption Robust Active Learning. - Yifang Chen 001; Simon S. Du; Kevin G. Jamieson (NeurIPS, 2021)

Active Multi-Task Representation Learning. - Yifang Chen 001; Kevin G. Jamieson; Simon S. Du (ICML, 2022)

First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. - Andrew J. Wagenmaker; Yifang Chen 001; Max Simchowitz; Simon S. Du; Kevin G. Jamieson (ICML, 2022)

Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. - Andrew J. Wagenmaker; Yifang Chen 001; Max Simchowitz; Simon S. Du; Kevin G. Jamieson (ICML, 2022)

Improved Active Multi-Task Representation Learning via Lasso. - Yiping Wang; Yifang Chen 001; Kevin Jamieson 001; Simon Shaolei Du (ICML, 2023)

Active representation learning for general task space with applications in robotics. - Yifang Chen 001; Yingbing Huang; Simon S. Du; Kevin G. Jamieson; Guanya Shi (NeurIPS, 2023)

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. - Jifan Zhang; Yifang Chen 001; Gregory Canal; Stephen Mussmann; Yinglun Zhu; Simon Shaolei Du; Kevin G. Jamieson; Robert D. Nowak (CoRR, 2023)

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. - Gantavya Bhatt; Yifang Chen 001; 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 (ACL (Findings), 2024)

Decoding-Time Language Model Alignment with Multiple Objectives. - Ruizhe Shi; Yifang Chen 001; Yushi Hu; Alisa Liu; Hanna Hajishirzi; Noah A. Smith; Simon S. Du (NeurIPS, 2024)

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning. - Yiping Wang; Yifang Chen 001; Wendan Yan; Alex Fang; Wenjing Zhou; Kevin G. Jamieson; Simon S. Du (NeurIPS, 2024)

Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning. - Yiping Wang; Yifang Chen 001; Wendan Yan; Kevin G. Jamieson; Simon Shaolei Du (CoRR, 2024)

Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. - Yifang Chen 001; Shuohang Wang; Ziyi Yang; Hiteshi Sharma; Nikos Karampatziakis; Donghan Yu; Kevin G. Jamieson; Simon Shaolei Du; Yelong Shen (CoRR, 2024)

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters. - Yiping Wang; Hanxian Huang; Yifang Chen 001; Jishen Zhao; Simon Shaolei Du; Yuandong Tian (CoRR, 2025)