Papers

Preprints

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
   

Publications

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