Zhu, Yinglun

14 publications

ICLR 2025 Chain-of-Region: Visual Language Models Need Details for Diagram Analysis Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen

ICLR 2025 Efficient Sparse PCA via Block-Diagonalization Alberto Del Pia, Dekun Zhou, Yinglun Zhu

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

ICML 2023 Infinite Action Contextual Bandits with Reusable Data Exhaust Mark Rucker, Yinglun Zhu, Paul Mineiro

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

AISTATS 2022 Near Instance Optimal Model Selection for Pure Exploration Linear Bandits Yinglun Zhu, Julian Katz-Samuels, Robert Nowak

AISTATS 2022 Pareto Optimal Model Selection in Linear Bandits Yinglun Zhu, Robert Nowak

NeurIPS 2022 Active Learning with Neural Networks: Insights from Nonparametric Statistics Yinglun Zhu, Robert Nowak

ICML 2022 Contextual Bandits with Large Action Spaces: Made Practical Yinglun Zhu, Dylan J Foster, John Langford, Paul Mineiro

ICML 2022 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces Yinglun Zhu, Paul Mineiro

NeurIPS 2022 Efficient Active Learning with Abstention Yinglun Zhu, Robert Nowak

NeurIPS 2021 Pure Exploration in Kernel and Neural Bandits Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak

NeurIPS 2020 On Regret with Multiple Best Arms Yinglun Zhu, Robert Nowak

ICML 2020 Robust Outlier Arm Identification Yinglun Zhu, Sumeet Katariya, Robert Nowak