Research: Management sciences

Johannes Ledolter
Dexter, F., Ledolter, J., Smith, A. & Hindman, B. (2017). Validity of the Daily Evaluation of Nurse Anesthetists’ Clinical Performance Using a Work Habits Scale and Control for the Leniencies of the Rating Anesthesiologists. Journal of Clinical Anesthesia, 42, 63-68.
Nick Street
Duan, L., Liu, Y., Street, N. & Lu, H. (2017). Utilizing advances in correlation analysis for community structure detection. Expert Systems with Applications, 84, 74-91.
Qihang Lin
Lash, M. T., Lin, Q., Street, N. & Robinson, J. G. (2017). A Budget-Constrained Inverse Classification Framework for Smooth Classifiers. IEEE International Conference on Data Mining Workshops (ICDMW).
Qihang Lin
Xu, Y., Lin, Q. & Yang, T. (2017). Searching in the Dark: Practical SVRG Methods under Error Bound Conditions with Guarantee. Neural Information Processing Systems (NIPS).
Qihang Lin
Lee, J. D., Lin, Q., Ma, T. & Yang, T. (2017). Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement. Journal of Machine Learning Research.
Qihang Lin
Xu, Y., Liu, M., Yang, T. & Lin, Q. (2017). No More Fixed Penalty Parameter in ADMM: Faster Convergence with New Adaptive Penalization. Neural Information Processing Systems (NIPS).
Xun Zhou
Yuan, Z., Zhou, X., Yang, T., Tamerius, J. & Mantilla, R. (In Press). Predicting Traffic Accidents Through Heterogeneous Urban Data: A Case Study. 6th International Workshop on Urban Computing (UrbComp) in Conjunction with ACM KDD 2017.