Liu, Lydia T.

1. Competing Bandits in Matching Markets
   2019/06/12 by Liu, Lydia T., Mania, Horia, Jordan, Michael I. · 6 citations
   #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA)
2. Bandit Learning in Decentralized Matching Markets
   2020/12/14 by Liu, Lydia T., Ruan, Feng, Mania, Horia +1 · 4 citations
   #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA)
3. Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
   2020/03/14 by Esther Rolf, Max Simchowitz, Rolf, Esther +11 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
4. On the Local Minima of the Empirical Risk
   2018/03/25 by Jin, Chi, Liu, Lydia T., Ge, Rong +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
5. On the Actionability of Outcome Prediction
   2023/09/08 by Liu, Lydia T., Barocas, Solon, Kleinberg, Jon +1 · 1 citation
   #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Evaluating Fairness in Black-box Algorithmic Markets: A Case Study of Ride Sharing in Chicago
   2024/07/30 by Liu, Yuhan, Zheng, Yuhan, Zhang, Siyuan +1 · 1 citation
   #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)