2024 Best Paper Awards

2024 INFORMS Data Mining Best Paper Awards

Best General Paper Finalists

  • Emanuele Borgonovo (Bocconi University); Francesco Cappelli (Bocconi University); Xuefei Lu (SKEMA Business School); Elmar Plischke (Clausthal University of Technology); Cynthia Rudin (Duke University)  Runner-Up
    • Title: Trustworthy Feature Importance Avoids Unrestricted Permutations
  • Yongxiang Li(Shanghai Jiao Tong University); Yu Tian(Shanghai Jiao Tong University); Qian Xiao(University of Georgia); Jianguo Wu (Peking University)
    • Title: Penalized Additive Gaussian Process for Screening and Optimization of Quantitative and Qualitative Factors in Black-Box Systems
  • Naichen Shi (University of Michigan); Salar Fattahi (University of Michigan); Raed Al Kontar (University of Michigan)  Winner
    • Title: Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
  • Qian Xie (Cornell University); Raul Astudillo (Caltech); Peter Frazier (Cornell University); Ziv Scully (Cornell University); Alexander Terenin (Cornell University)
    • Title: Cost-aware Bayesian optimization via the Pandora’s Box Gittins index

Best Student Paper Finalists 

  • Aras Selvi (Imperial College Business School); Eleonora Kreacic (JP Morgan AI Research); Mohsen Ghassemi (JP Morgan AI Research); Vamsi Potluru (JP Morgan AI Research); Tucker Balch (JP Morgan AI Research); Manuela Veloso (JP Morgan AI Research)

    • Title: Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls

  • Brian Liu (MIT); Rahul Mazumder (MIT) Winner
    • Title: MOSS: Multi-Objective Optimization for Stable Rule Sets
  • Dongmin Li (University of Florida); Miao Bai (University of Connecticut); Di Wang (Shanghai Jiao Tong University); Xiaochen Xian (University of Florida)
    • Title: A Bayesian Jump Model-based Pathwise Sampling Approach for Online Anomaly Detection
  • Jie Wang (Georgia Institute of Technology), March Boedihardjo (Michigan State University), Yao Xie (Georgia Institute of Technology) Runner-Up
    • Title: Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances

DMDA Workshop Best Applied Paper Finalists

  • Peiyao Liu, Junpeng Lin, Chen Zhang (Tsinghua University) Runner-Up
    • Title: Heterogeneous Multivariate Functional Time Series Modeling: A State Space Approach
  • Yu Ma, Dimitris Bertsimas (Massachusetts Institute of Technology) Winner
    • Title: M3H: Multimodal Multitask Machine Learning for Healthcare
  • Chenyang Li, Jihoon Chung, Mengnan Du, Haimin Wang, Bo Shen (New Jersey Institute of Technology, and Pusan National University)
    • Title: On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
  • Nolan M. Talaei, Salih Tutun, Asil Oztekin, Anol Bhattacherjee (University of Massachusetts Lowell, Washington University in St Louis, University of South Florida) Runner-Up
    • Title: Gamified Explainable Artificial Intelligence for ADHD Diagnosis: Weighted Harmonized Ensemble Explanations for Latent Label

DMDA Workshop Best Theoretical Paper Finalists

  • Bo Lin, Timothy C. Y. Chan, Erick Delage (University of Toronto, HEC Montréal)
    • Title: Conformal Inverse Optimization
  • Qing Feng, Tianyi Ma, Ruihao Zhu (Cornell University, Shanghai Jiao Tong University, Cornell University)
    • Title: Satisficing Exploration in Bandit Optimization
  • Ryan Cory-Wright, Jean Pauphilet (Imperial Business School, London Business School) Winner
    • Title: Sparse PCA with Multiple Components
  • Jiachang Liu, Rui Zhang, Cynthia Rudin (Duke University) Runner-Up
    • Title: FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models