San Gultekin
San Gultekin
Verizon Media
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
A collaborative kalman filter for time-evolving dyadic processes
S Gultekin, J Paisley
2014 IEEE International Conference on Data Mining, 140-149, 2014
292014
Noise enhanced hypothesis-testing according to restricted Neyman–Pearson criterion
S Bayram, S Gultekin, S Gezici
Digital Signal Processing 25, 17-27, 2014
222014
Nonlinear Kalman filtering with divergence minimization
S Gultekin, J Paisley
IEEE Transactions on Signal Processing 65 (23), 6319-6331, 2017
212017
Stochastic variational inference for the HDP-HMM
A Zhang, S Gultekin, J Paisley
Artificial Intelligence and Statistics, 800-808, 2016
212016
MBA: mini-batch AUC optimization
S Gultekin, A Saha, A Ratnaparkhi, J Paisley
IEEE transactions on neural networks and learning systems 31 (12), 5561-5574, 2020
92020
Online forecasting matrix factorization
S Gultekin, J Paisley
IEEE Transactions on Signal Processing 67 (5), 1223-1236, 2018
62018
Asymptotic Simulated Annealing for Variational Inference
S Gultekin, A Zhang, J Paisley
2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018
32018
Noise enhanced detection in restricted Neyman-Pearson framework
S Bayram, S Gultekin, S Gezici
2012 IEEE 13th International Workshop on Signal Processing Advances in …, 2012
32012
Stochastic Annealing for Variational Inference
S Gultekin, A Zhang, J Paisley
arXiv preprint arXiv:1505.06723, 2015
22015
Bid Shading by Win-Rate Estimation and Surplus Maximization
S Pan, B Kitts, T Zhou, H He, B Shetty, A Flores, D Gligorijevic, J Pan, ...
arXiv preprint arXiv:2009.09259, 2020
2020
Risk Bounds for Low Cost Bipartite Ranking
S Gultekin, J Paisley
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
2020
Dynamic Machine Learning with Least Square Objectives
S Gultekin
Columbia University, 2019
2019
Bid Shading by Auction Clearing Price Prediction and Fast Surplus Maximization Search
S Pan, B Kitts, T Zhou, H He, B Shetty, A Flores, D Gligorijevic, J Pan, ...
2018
Probabilistic Canonical Tensor Decomposition for Predicting User Preference
MR Rudolph, S Gultekin, J Paisley, SF Chang
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Articles 1–14