3 citations · 8 across the 5 of their papers we have counts for
5 papers
Learning to Select and Rank from Choice-Based Feedback: A Simple Nested Approach
Junwen Yang, Yifan Feng
We study a ranking and selection problem of learning from choice-based feedback with dynamic assortments. In this problem, a company sequentially displays a set of items to a popul…
Leveraging Application Data Constraints to Optimize Database-Backed Web Applications
Xiaoxuan Liu, Shuxian Wang, Mengzhu Sun +7
Exploiting the relationships among data is a classical query optimization technique. As persistent data is increasingly being created and maintained programmatically, prior work th…
Optimal Clustering with Bandit Feedback
Junwen Yang, Zixin Zhong, Vincent Y. F. Tan
This paper considers the problem of online clustering with bandit feedback. A set of arms (or items) can be partitioned into various groups that are unknown. Within each group, the…
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
Recent work has made significant progress in helping users to automate single data preparation steps, such as string-transformations and table-manipulation operators (e.g., Join, G…
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
Junwen Yang, Vincent Y. F. Tan
We study the problem of best arm identification in linear bandits in the fixed-budget setting. By leveraging properties of the G-optimal design and incorporating it into the arm al…