San Gultekin

According to our database, San Gultekin authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Double Distributionally Robust Bid Shading for First Price Auctions.

Yanlin Qu, Ravi Kant, Yan Chen, Brendan Kitts, San Gultekin, Aaron Flores, Jose H. Blanchet

CoRR, 2024

2023

Nonlinear Kalman Filtering with Reparametrization Gradients.

San Gultekin, Brendan Kitts, Aaron Flores, John W. Paisley

CoRR, 2023

2021

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions.

Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm.

Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

MBA: Mini-Batch AUC Optimization.

San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John W. Paisley

IEEE Trans. Neural Networks Learn. Syst., 2020

Bid Shading by Win-Rate Estimation and Surplus Maximization.

Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang

CoRR, 2020

Risk Bounds for Low Cost Bipartite Ranking.

San Gultekin, John W. Paisley

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Dynamic Machine Learning with Least Square Objectives.

San Gultekin

PhD thesis, 2019

Online Forecasting Matrix Factorization.

San Gultekin, John W. Paisley

IEEE Trans. Signal Process., 2019

2018

Asymptotic Simulated Annealing for Variational Inference.

San Gultekin, Aonan Zhang, John W. Paisley

Proceedings of the IEEE Global Communications Conference, 2018

2017

Nonlinear Kalman Filtering With Divergence Minimization.

San Gultekin, John W. Paisley

IEEE Trans. Signal Process., 2017

2016

Stochastic Variational Inference for the HDP-HMM.

Aonan Zhang, San Gultekin, John W. Paisley

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2014

Noise enhanced hypothesis-testing according to restricted Neyman-Pearson criterion.

Suat Bayram, San Gultekin, Sinan Gezici

Digit. Signal Process., 2014

A Collaborative Kalman Filter for Time-Evolving Dyadic Processes.

San Gultekin, John W. Paisley

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2012

Noise enhanced detection in restricted Neyman-Pearson framework.

Suat Bayram, San Gultekin, Sinan Gezici

Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012