Papers and books


  • Multi-Scale Change Point Detection in Multivariate Time Series
    Z. Ebrahimzadeh and S. Kleinberg
    NIPS Time Series Workshop, 2017
  • Replicability, Reproducibility, and Agent-based Simulation of Interventions
    R. S. Hum and S. Kleinberg
    AMIA Annual Symposium, 2017
  • 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


  • 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
  • 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
  • Causal Explanation Under Indeterminism: A Sampling Approach
    C. Merck and S. Kleinberg
    AAAI, 2016
    [pdf] [code on github]


  • 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]


  • 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


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