1. Acela: Predictable Datacenter-level Maintenance Job Scheduling
    Yi Ding, Aijia Gao, Thibaud Ryden, Kaushik Mitra, Sukumar Kalmanje, Yanai Golany, Michael Carbin, Henry Hoffmann

  2. SCOPE: Safe Exploration for Dynamic Computer Systems Optimization
    Hyunji Kim, Ahsan Pervaiz, Henry Hoffmann, Michael Carbin, Yi Ding

  3. Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression
    Yi Ding, Alex Renda, Ahsan Pervaiz, Michael Carbin, Henry Hoffmann


  1. Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs
    Alex Renda, Yi Ding, Michael Carbin
    OOPSLA 2023: The ACM SIGPLAN conference on Systems, Programming, Languages, and Applications.

  2. CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms
    Gokul Ravi, Pranav Gokhale, Yi Ding, William Kirby, Kaitlin Smith, Peter Love, Kenneth Brown, Henry Hoffmann, Frederic Chong
    ASPLOS 2023: The 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

  3. Minimax Designs for Causal Effects in Temporal Experiments with Treatment Habituation [arXiv]
    Guillaume Basse, Yi Ding, Panos Toulis
    Biometrika, 2023 (Top Statistics Journal)

  4. NURD : Negative-Unlabeled Learning for Online Datacenter Straggler Prediction [Slides]
    Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann
    MLSys 2022: The 5th Conference on Machine Learning and Systems

  5. Programming with Neural Surrogates of Programs [Video] [Code]
    Alex Renda, Yi Ding, Michael Carbin
    Onward! 2021: The ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software

  6. Generalizable and Interpretable Learning for Configuration Extrapolation [Video]
    Yi Ding, Ahsan Pervaiz, Michael Carbin, Henry Hoffmann
    ESEC/FSE 2021: The 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

  7. Neighborhood Street Activity and Greenspace Usage Uniquely Contribute to Predicting Crime [Media]
    Kathryn E Schertz, James Saxon, Carlos Cardenas-Iniguez, Luís MA Bettencourt, Yi Ding, Henry Hoffmann, Marc G Berman
    npj Urban Sustainability, Nature Research Journal, 2021

  8. A Polynomial-time Algorithm for Learning Nonparametric Causal Graphs [arXiv] [Poster] [Code]
    Ming Gao, Yi Ding, Bryon Aragam
    NeurIPS 2020: The 34th Conference on Neural Information Processing Systems

  9. Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods [Video]
    Yi Ding, Panos Toulis
    AISTATS 2020: The 23rd International Conference on Artificial Intelligence and Statistics

  10. Generative and Multi–phase Learning for Computer Systems Optimization [Slides] [Lightning Talk] [Poster]
    Yi Ding, Nikita Mishra, Henry Hoffmann
    ISCA 2019: The 46th International Symposium on Computer Architecture

  11. Multiresolution Kernel Approximation for Gaussian Process Regression [arXiv] [Spotlight Video] [Poster]
    Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler
    NeurIPS 2017 (Spotlight): The 31st Conference on Neural Information Processing Systems

  12. Large Scale Kernel Methods for Online AUC Maximization
    Yi Ding, Chenghao Liu, Peilin Zhao, Steven CH Hoi
    ICDM 2017 (Long Oral): The IEEE International Conference on Data Mining

  13. An Adaptive Gradient Method for Online AUC Maximization
    Yi Ding, Peilin Zhao, Steven CH Hoi, Yew-Soon Ong
    AAAI 2015 (Oral): The 29th AAAI Conference on Artificial Intelligence

  14. Learning Relative Similarity by Stochastic Dual Coordinate Ascent
    Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven CH Hoi
    AAAI 2014: The 28th AAAI Conference on Artificial Intelligence