Chen, Yifang

20 publications

ICLRW 2025 Fast Gradient Computation for RoPE Attention in Almost Linear Time Yifang Chen, Jiayan Huo, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song

ICML 2025 Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song

CPAL 2025 The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song

NeurIPS 2024 CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning Yiping Wang, Yifang Chen, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin Jamieson, Simon Shaolei Du

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

ICMLW 2024 Decoding-Time Language Model Alignment with Multiple Objectives Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon Shaolei Du

DMLR 2024 LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D Nowak

NeurIPS 2023 Active Representation Learning for General Task Space with Applications in Robotics Yifang Chen, Yingbing Huang, Simon S Du, Kevin G. Jamieson, Guanya Shi

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

NeurIPSW 2023 LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Yinglun Zhu, Stephen Mussmann, Simon Shaolei Du, Jeff Bilmes, Kevin Jamieson, Robert D Nowak

ICML 2022 Active Multi-Task Representation Learning Yifang Chen, Kevin Jamieson, Simon Du

NeurIPSW 2022 Causal Bandits: Online Decision-Making in Endogenous Settings Jingwen Zhang, Yifang Chen, Amandeep Singh

NeurIPSW 2022 Causal Bandits: Online Decision-Making in Endogenous Settings Jingwen Zhang, Yifang Chen, Amandeep Singh

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

ICML 2022 Reward-Free RL Is No Harder than Reward-Aware RL in Linear Markov Decision Processes Andrew J Wagenmaker, Yifang Chen, Max Simchowitz, Simon Du, Kevin Jamieson

NeurIPS 2021 Corruption Robust Active Learning Yifang Chen, Simon S Du, Kevin G. Jamieson

ICML 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning Yifang Chen, Simon Du, Kevin Jamieson

UAI 2020 Fair Contextual Multi-Armed Bandits: Theory and Experiments Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis

COLT 2019 A New Algorithm for Non-Stationary Contextual Bandits: Efficient, Optimal and Parameter-Free Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei

COLT 2019 Achieving Optimal Dynamic Regret for Non-Stationary Bandits Without Prior Information Peter Auer, Yifang Chen, Pratik Gajane, Chung-Wei Lee, Haipeng Luo, Ronald Ortner, Chen-Yu Wei