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Projects

Research Output

Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning

Prasad, N., Engelhardt, B. & Doshi-Velez, F., Feb 4 2020, ACM CHIL 2020 - Proceedings of the 2020 ACM Conference on Health, Inference, and Learning. Association for Computing Machinery, Inc, p. 1-9 9 p. (ACM CHIL 2020 - Proceedings of the 2020 ACM Conference on Health, Inference, and Learning).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
  • Measuring the predictability of life outcomes with a scientific mass collaboration

    Salganik, M. J., Lundberg, I., Kindel, A. T., Ahearn, C. E., Al-Ghoneim, K., Almaatouq, A., Altschul, D. M., Brand, J. E., Carnegie, N. B., Compton, R. J., Datta, D., Davidson, T., Filippova, A., Gilroy, C., Goode, B. J., Jahani, E., Kashyap, R., Kirchner, A., McKay, S., Morgan, A. C. & 92 others, Pentland, A., Polimis, K., Raes, L., Rigobon, D. E., Roberts, C. V., Stanescu, D. M., Suhara, Y., Usmani, A., Wang, E. H., Adem, M., Alhajri, A., AlShebli, B., Amin, R., Amos, R. B., Argyle, L. P., Baer-Bositis, L., Büchi, M., Chung, B. R., Eggert, W., Faletto, G., Fan, Z., Freese, J., Gadgil, T., Gagné, J., Gao, Y., Halpern-Manners, A., Hashim, S. P., Hausen, S., He, G., Higuera, K., Hogan, B., Horwitz, I. M., Hummel, L. M., Jain, N., Jin, K., Jurgens, D., Kaminski, P., Karapetyan, A., Kim, E. H., Leizman, B., Liu, N., Möser, M., Mack, A. E., Mahajan, M., Mandell, N., Marahrens, H., Mercado-Garcia, D., Mocz, V., Mueller-Gastell, K., Musse, A., Niu, Q., Nowak, W., Omidvar, H., Or, A., Ouyang, K., Pinto, K. M., Porter, E., Porter, K. E., Qian, C., Rauf, T., Sargsyan, A., Schaffner, T., Schnabel, L., Schonfeld, B., Sender, B., Tang, J. D., Tsurkov, E., van Loon, A., Varol, O., Wang, J., Wang, F., Weissman, S., Whitaker, K., Wolters, M. K., Woon, W. L., Wang, X., Wang, Z., Wu, J., Wu, C., Yang, K., Yin, J., Zhao, B., Zhu, C., Brooks-Gunn, J., Engelhardt, B. E., Hardt, M., Knox, D., Levy, K., Narayanan, A., Stewart, B. M., Watts, D. J. & McLanahan, S., Apr 14 2020, In : Proceedings of the National Academy of Sciences of the United States of America. 117, 15, p. 8398-8403 6 p.

    Research output: Contribution to journalArticle

    Open Access
  • 3 Scopus citations

    NetNMF-SC: Leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysis

    Elyanow, R., Dumitrascu, B., Engelhardt, B. E. & Raphael, B. J., 2020, In : Genome Research. 30, 2, p. 195-204 10 p.

    Research output: Contribution to journalArticle

    Open Access
  • Sparse multi-output Gaussian processes for online medical time series prediction

    Cheng, L. F., Dumitrascu, B., Darnell, G., Chivers, C., Draugelis, M., Li, K. & Engelhardt, B. E., Jul 8 2020, In : BMC Medical Informatics and Decision Making. 20, 1, 152.

    Research output: Contribution to journalArticle

    Open Access
  • End-to-end training of deep probabilistic CCA on paired biomedical observations

    Gundersen, G., Dumitrascu, B., Ash, J. T. & Engelhardt, B. E., Jan 1 2019.

    Research output: Contribution to conferencePaper