| Nonlinear Kalman filtering with divergence minimization S Gultekin, J Paisley IEEE Transactions on Signal Processing 65 (23), 6319-6331, 2017 | 57 | 2017 |
| A collaborative kalman filter for time-evolving dyadic processes S Gultekin, J Paisley 2014 IEEE International Conference on Data Mining, 140-149, 2014 | 39 | 2014 |
| Stochastic variational inference for the HDP-HMM A Zhang, S Gultekin, J Paisley Artificial Intelligence and Statistics, 800-808, 2016 | 36 | 2016 |
| An efficient deep distribution network for bid shading in first-price auctions T Zhou, H He, S Pan, N Karlsson, B Shetty, B Kitts, D Gligorijevic, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 32 | 2021 |
| 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 | 31 | 2020 |
| Noise enhanced hypothesis-testing according to restricted Neyman–Pearson criterion S Bayram, S Gultekin, S Gezici Digital Signal Processing 25, 17-27, 2014 | 27 | 2014 |
| Meow: A space-efficient nonparametric bid shading algorithm W Zhang, B Kitts, Y Han, Z Zhou, T Mao, H He, S Pan, A Flores, S Gultekin, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 22 | 2021 |
| Online forecasting matrix factorization S Gultekin, J Paisley IEEE Transactions on Signal Processing 67 (5), 1223-1236, 2018 | 21 | 2018 |
| 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 | 19 | 2020 |
| Optimal bidding and experimentation for multi-layer auctions in online advertising N Si, S Gultekin, J Blanchet, A Flores Available at SSRN 4358914, 2023 | 9 | 2023 |
| Asymptotic Simulated Annealing for Variational Inference S Gultekin, A Zhang, J Paisley 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 5 | 2018 |
| 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 | 3 | 2012 |
| Stochastic Annealing for Variational Inference S Gultekin, A Zhang, J Paisley arXiv preprint arXiv:1505.06723, 2015 | 2 | 2015 |
| Risk Bounds for Low Cost Bipartite Ranking S Gultekin, J Paisley Conference on Uncertainty in Artificial Intelligence (UAI), 2020 | 1 | 2020 |
| Double Distributionally Robust Bid Shading for First Price Auctions Y Qu, R Kant, Y Chen, B Kitts, S Gultekin, A Flores, J Blanchet arXiv preprint arXiv:2410.14864, 2024 | | 2024 |
| Nonlinear Kalman Filtering with Reparametrization Gradients S Gultekin, B Kitts, A Flores, J Paisley 2024 9th International Conference on Frontiers of Signal Processing (ICFSP …, 2024 | | 2024 |
| Bid value determination for a first-price auction S Pan, T Zhou, B Kitts, H He, B Shetty, D Gligorijevic, PAN Junwei, T Mao, ... US Patent 11,657,326, 2023 | | 2023 |
| 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 | | |
John PaisleyColumbia UniversityAdresse e-mail validée de columbia.edu