Yinglun Zhu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Top Venues

Publications

Dingyang Chen, Qi Zhang, Yinglun Zhu
Efficient Sequential Decision Making with Large Language Models. CoRR (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR (2024)
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
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) (2024)
Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR (2023)
Mark Rucker, Yinglun Zhu, Paul Mineiro
Infinite Action Contextual Bandits with Reusable Data Exhaust. CoRR (2023)
Mark Rucker, Yinglun Zhu, Paul Mineiro
Infinite Action Contextual Bandits with Reusable Data Exhaust. ICML (2023)
Yinglun Zhu, Robert Nowak
Active Learning with Neural Networks: Insights from Nonparametric Statistics. NeurIPS (2022)
Yinglun Zhu, Robert D. Nowak
Efficient Active Learning with Abstention. CoRR (2022)
Yinglun Zhu, Dylan J. Foster, John Langford, Paul Mineiro
Contextual Bandits with Large Action Spaces: Made Practical. CoRR (2022)
Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. AISTATS (2022)
Yinglun Zhu, Robert D. Nowak
Pareto Optimal Model Selection in Linear Bandits. AISTATS (2022)
Yinglun Zhu, Paul Mineiro
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces. ICML (2022)
Yinglun Zhu, Robert D. Nowak
Active Learning with Neural Networks: Insights from Nonparametric Statistics. CoRR (2022)
Yinglun Zhu, Robert Nowak
Efficient Active Learning with Abstention. NeurIPS (2022)
Yinglun Zhu, Dylan J. Foster, John Langford, Paul Mineiro
Contextual Bandits with Large Action Spaces: Made Practical. ICML (2022)
Yinglun Zhu, Paul Mineiro
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces. CoRR (2022)
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak
Pure Exploration in Kernel and Neural Bandits. NeurIPS (2021)
Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. CoRR (2021)
Yinglun Zhu, Robert D. Nowak
Pareto Optimal Model Selection in Linear Bandits. CoRR (2021)
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert D. Nowak
Pure Exploration in Kernel and Neural Bandits. CoRR (2021)
Yinglun Zhu, Robert D. Nowak
On Regret with Multiple Best Arms. CoRR (2020)
Yinglun Zhu, Sumeet Katariya, Robert D. Nowak
Robust Outlier Arm Identification. ICML (2020)
Yinglun Zhu, Robert Nowak
On Regret with Multiple Best Arms. NeurIPS (2020)
Yinglun Zhu, Sumeet Katariya, Robert Nowak
Robust Outlier Arm Identification. CoRR (2020)
Jiefeng Chen, Zihang Meng, Changtian Sun, Wei Tang, Yinglun Zhu
ReabsNet: Detecting and Revising Adversarial Examples. CoRR (2017)