San Gultekin

21 papers A* 3A 2B 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Double Distributionally Robust Bid Shading for First Price Auctions.
CoRR
Yanlin Qu, Ravi Kant, Yan Chen, Brendan Kitts, San Gultekin, Aaron Flores, Jose H. Blanchet
2024 — conf
Nonlinear Kalman Filtering with Reparametrization Gradients.
ICFSP
San Gultekin, Brendan Kitts, Aaron Flores, John Paisley
2023 J jnl
Nonlinear Kalman Filtering with Reparametrization Gradients.
CoRR
San Gultekin, Brendan Kitts, Aaron Flores, John W. Paisley
2021 A* conf
An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions.
KDD
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
2021 J jnl
An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions.
CoRR
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
2021 A* conf
MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm.
KDD
Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman
2020 J jnl
Bid Shading by Win-Rate Estimation and Surplus Maximization.
CoRR
Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang
2020 J jnl
MBA: Mini-Batch AUC Optimization.
IEEE Trans. Neural Networks Learn. Syst.
San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John W. Paisley
2020 A conf
Risk Bounds for Low Cost Bipartite Ranking.
UAI
San Gultekin, John W. Paisley
2019 — —
Dynamic Machine Learning with Least Square Objectives.
San Gultekin
2019 J jnl
Online Forecasting Matrix Factorization.
IEEE Trans. Signal Process.
San Gultekin, John W. Paisley
2019 J jnl
Risk Bounds for Low Cost Bipartite Ranking.
CoRR
San Gultekin, John W. Paisley
2018 B conf
Asymptotic Simulated Annealing for Variational Inference.
GLOBECOM
San Gultekin, Aonan Zhang, John W. Paisley
2018 J jnl
MBA: Mini-Batch AUC Optimization.
CoRR
San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John W. Paisley
2017 J jnl
Nonlinear Kalman Filtering With Divergence Minimization.
IEEE Trans. Signal Process.
San Gultekin, John W. Paisley
2017 J jnl
Online Forecasting Matrix Factorization.
CoRR
San Gultekin, John W. Paisley
2016 A conf
Stochastic Variational Inference for the HDP-HMM.
AISTATS
Aonan Zhang, San Gultekin, John W. Paisley
2015 J jnl
A Collaborative Kalman Filter for Time-Evolving Dyadic Processes.
CoRR
San Gultekin, John W. Paisley
2014 A* conf
A Collaborative Kalman Filter for Time-Evolving Dyadic Processes.
ICDM
San Gultekin, John W. Paisley
2014 J jnl
Noise enhanced hypothesis-testing according to restricted Neyman-Pearson criterion.
Digit. Signal Process.
Suat Bayram, San Gultekin, Sinan Gezici
2012 — conf
Noise enhanced detection in restricted Neyman-Pearson framework.
SPAWC
Suat Bayram, San Gultekin, Sinan Gezici