San Gultekin

ML Engineer at Meta

Ph.D. (2019), Columbia University

S. Gultekin and J. Paisley, “Risk bounds for low cost bipartite ranking,” in Proc. Conf. Uncertainty in Artificial Intelligence (UAI), 2020, pp. 959–968.

S. Gultekin, A. Saha, A. Ratnaparkhi, and J. Paisley, “MBA: mini-batch AUC optimization,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 12, pp. 5561–5574, 2020.

S. Gultekin and J. Paisley, “Online forecasting matrix factorization,” IEEE Transactions on Signal Processing, vol. 67, no. 5, pp. 1223–1236, 2018.

S. Gultekin and J. Paisley, “Nonlinear Kalman filtering with divergence minimization,” IEEE Transactions on Signal Processing, vol. 65, no. 23, pp. 6319–6331, 2017.

S. Gultekin and J. Paisley, “A collaborative Kalman filter for time-evolving dyadic processes,” in Proc. IEEE Int. Conf. Data Mining (ICDM), 2014, pp. 140–149.

S. Bayram, S. Gultekin, and S. Gezici, “Noise enhanced hypothesis-testing according to restricted Neyman–Pearson criterion,” Digital Signal Processing, vol. 25, pp. 17–27, 2014.