141 citations · 167 across the 9 of their papers we have counts for
9 papers
Performative Prediction with Bandit Feedback: Learning through Reparameterization
Yatong Chen, Wei Tang, Chien-Ju Ho +1
Performative prediction, as introduced by Perdomo et al, is a framework for studying social prediction in which the data distribution itself changes in response to the deployment o…
Rationality-Robust Information Design: Bayesian Persuasion under Quantal Response
Yiding Feng, Chien-Ju Ho, Wei Tang
Classic mechanism/information design imposes the assumption that agents are fully rational, meaning each of them always selects the action that maximizes her expected utility. Yet…
Optimal Query Complexity of Secure Stochastic Convex Optimization
Wei Tang, Chien-Ju Ho, Yang Liu
We study the secure stochastic convex optimization problem. A learner aims to learn the optimal point of a convex function through sequentially querying a (stochastic) gradient ora…
Competitive Information Design for Pandora's Box
Bolin Ding, Yiding Feng, Chien-Ju Ho +2
We study a natural competitive-information-design strategic variant for the celebrated Pandora's Box problem (Weitzman, 1979), where each box is associated with a strategic informa…
Bandit Learning with Delayed Impact of Actions
Wei Tang, Chien-Ju Ho, Yang Liu
We consider a stochastic multi-armed bandit (MAB) problem with delayed impact of actions. In our setting, actions taken in the past impact the arm rewards in the subsequent future.…
Working in Pairs: Understanding the Effects of Worker Interactions in Crowdwork
Chien-Ju Ho, Ming Yin
Crowdsourcing has gained popularity as a tool to harness human brain power to help solve problems that are difficult for computers. Previous work in crowdsourcing often assumes tha…
Incentivizing High Quality Crowdwork
Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri +1
We study the causal effects of financial incentives on the quality of crowdwork. We focus on performance-based payments (PBPs), bonus payments awarded to workers for producing high…
Low-Cost Learning via Active Data Procurement
Jacob Abernethy, Yiling Chen, Chien-Ju Ho +1
We design mechanisms for online procurement of data held by strategic agents for machine learning tasks. The challenge is to use past data to actively price future data and give le…
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems
Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan
Crowdsourcing markets have emerged as a popular platform for matching available workers with tasks to complete. The payment for a particular task is typically set by the task's req…