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Grigas, Paul

  1. Smart "Predict, then Optimize"
    2017/10/22 by Elmachtoub, Adam N., Grigas, Paul · 34 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  2. Generalization Bounds in the Predict-then-Optimize Framework
    2019/05/27 by Othman El Balghiti, Adam N. Elmachtoub, Balghiti, Othman El +5 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  3. Integrated Conditional Estimation-Optimization
    2021/10/24 by Meng Qi, Qi, Meng, Paul Grigas +3 · 4 citations
    Computer Science · Mathematics · Engineering · #Machine Learning and Algorithms #Statistical Methods and Inference #Control Systems and Identification
  4. New Analysis and Results for the Frank-Wolfe Method
    2013/07/02 by Freund, Robert M., Grigas, Paul · 2 citations
    #90C25 #FOS: Mathematics #G.1.6 #Optimization and Control (math.OC)
  5. Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
    2021/08/19 by Liu, Heyuan, Grigas, Paul · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  6. Online Contextual Decision-Making with a Smart Predict-then-Optimize Method
    2022/06/15 by Heyuan Liu, Liu, Heyuan, Paul Grigas +1 · 2 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques #Age of Information Optimization
  7. Profit Maximization for Online Advertising Demand-Side Platforms
    2017/06/06 by Grigas, Paul, Lobos, Alfonso, Wen, Zheng +1 · 1 citation
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC)
  8. Binary Classification with Instance and Label Dependent Label Noise
    2023/06/06 by Hyungki Im, Im, Hyungki, Paul Grigas +1 · 1 citation
    Computer Science · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  9. Stochastic First-Order Algorithms for Constrained Distributionally Robust Optimization
    2023/05/26 by Im, Hyungki, Grigas, Paul · 1 citation
    #FOS: Mathematics #Optimization and Control (math.OC)
  10. New Methods for Parametric Optimization via Differential Equations
    2023/06/15 by Liu, Heyuan, Grigas, Paul · 1 citation
    #FOS: Mathematics #Optimization and Control (math.OC)
  11. Active Learning For Contextual Linear Optimization: A Margin-Based Approach
    2023/05/11 by Mo Liu, Liu, Mo, Paul Grigas +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC)