Papers and books

2019

  • Time and Causality across the Sciences
    S. Kleinberg, editor
    Cambridge University Press, 2019
    [my book page] [Cambridge [Amazon US]
  • Automated Meal Detection from CGM Data Through Simulation and Explanation
    M. Zheng, B. Ni, and S. Kleinberg
    JAMIA, 2019 (in press)
  • Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients
    T. T. Yavuz, J. Claassen, and S. Kleinberg
    AMIA Annual Symposium, 2019
    [pdf] [code on github]
  • Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series
    M. Zheng, and S. Kleinberg
    Machine Learning for Healthcare, 2019
    [pdf] [code on github]
  • Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments
    M. Mirtchouk, D. L. McGuire, A. L. Deierlein, and S. Kleinberg
    Machine Learning for Healthcare, 2019
    [pdf] [code on github]

2018

  • Automated Identification of Causal Moderators in Time-Series Data
    M. Zheng, J. Claassen, and S. Kleinberg
    ACM SIGKDD Causal Discovery Workshop, 2018
    [pdf]

2017

  • Multi-Scale Change Point Detection in Multivariate Time Series
    Z. Ebrahimzadeh and S. Kleinberg
    NIPS Time Series Workshop, 2017
    [pdf]
  • Replicability, Reproducibility, and Agent-based Simulation of Interventions
    R. S. Hum and S. Kleinberg
    AMIA Annual Symposium, 2017
    [pdf]
  • Recognizing Eating from Body-Worn Sensors: Combining Free-living and Laboratory Data
    M. Mirtchouk, D. Lustig, A. Smith, I. Ching, M. Zheng, and S. Kleinberg
    IMWUT 1 (3) (previously UbiComp), 2017
    [pdf] [data]
  • A Method for Automating Token Causal Explanation and Discovery
    M. Zheng and S. Kleinberg
    FLAIRS, 2017
    [pdf]

2016

  • Using Uncertain Data from Body-Worn Sensors to Gain Insight into Type 1 Diabetes
    N. Heintzman and S. Kleinberg
    Journal of Biomedical Informatics (JBI) (63):259-268, 2016
    [pdf]
  • Automated Estimation of Food Type and Amount Consumed from Body-worn Audio and Motion Sensors
    M. Mirtchouk, C. Merck, and S. Kleinberg
    UbiComp, 2016
    [pdf] [data]
    Best Paper Honorable Mention
  • Multimodality Sensing for Eating Recognition
    C. Merck, C. Maher, M. Mirtchouk, M. Zheng, Y. Huang, and S. Kleinberg
    Pervasive Health, 2016
    [pdf] [data]
  • Causal Structure of Brain Physiology after Brain Injury from Subarachnoid Hemorrhage
    J. Claassen, S. A. Rahman, Y. Huang, H. P. Frey, J. M. Schmidt, D. Albers, C. M. Falo, S. Park, S. Agarwal, E. S. Connolly, and S. Kleinberg
    PLoS ONE, 11(4), 2016
    [PLoS]
  • Causal Explanation Under Indeterminism: A Sampling Approach
    C. Merck and S. Kleinberg
    AAAI, 2016
    [pdf] [code on github]

2015

  • Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data
    S. A. Rahman, Y. Huang, J. Claassen, N. Heintzman and S. Kleinberg
    Journal of Biomedical Informatics (JBI) (58):198-207, 2015
    [pdf] [code on github]
  • Why: A Guide to Finding and Using Causes
    S. Kleinberg
    O'Reilly Media, 2015
    [my book page] [O'Reilly] [Amazon US]
  • Unintrusive Eating Recognition using Google Glass
    S. A. Rahman, C. Merck, Y. Huang and S. Kleinberg
    Pervasive Health, 2015
    [pdf] [data]
  • Fast and Accurate Causal Inference from Time Series Data
    Y. Huang and S. Kleinberg
    FLAIRS, 2015
    [pdf] [proofs]

2014

  • Imputation of Missing Values in Time Series with Lagged Correlations
    S. A. Rahman, Y. Huang, J. Claassen, and S. Kleinberg
    IEEE ICDM Workshop on Data Mining in Biomedical Informatics and Healthcare, 2014
    [pdf]

2013

  • Lessons Learned in Replicating Data-Driven Experiments in Multiple Medical Systems and Patient Populations
    S. Kleinberg and N. Elhadad
    AMIA Annual Symposium, 2013
    [pdf]
  • Causal Inference with Rare Events in Large-Scale Time-Series Data
    S. Kleinberg
    International Joint Conference on Artificial Intelligence (IJCAI), 2013
    [pdf]

2012