Research and Papers

Research Interests:  

Continuous Optimization, (Fair) Machine Learning,  Stochastic Optimization,  Multi-Objective Optimization. 

Submitted & Working papers: 

  1. S. Liu and L. N. Vicente (2021). The Sharpe predictor for fairness in machine learning. (pre-print)
  2. S. Liu and L. N. Vicente (2021). A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering. (submitted)
  3. S. Liu and L. N. Vicente (2020). Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach, ISE Technical Report 20T-016, Lehigh University. (submitted)
  4. S. Liu and L. N. Vicente. The Stochastic Multi-Gradient Algorithm for Multi-Objective Optimization and its Application to Supervised Machine Learning, Annals of Operations Research, 2020.

Other Projects: