Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

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

* In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), August 14-18, 2021, Singapore 

   Access Paper or Ask Questions

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

* AdKDD 2020 

   Access Paper or Ask Questions

Risk Bounds for Low Cost Bipartite Ranking



San Gultekin , John Paisley


   Access Paper or Ask Questions

MBA: Mini-Batch AUC Optimization



San Gultekin , Avishek Saha , Adwait Ratnaparkhi , John Paisley


   Access Paper or Ask Questions

Online Forecasting Matrix Factorization



San Gultekin , John Paisley


   Access Paper or Ask Questions

Nonlinear Kalman Filtering with Divergence Minimization



San Gultekin , John Paisley


   Access Paper or Ask Questions

Stochastic Annealing for Variational Inference



San Gultekin , Aonan Zhang , John Paisley


   Access Paper or Ask Questions

A Collaborative Kalman Filter for Time-Evolving Dyadic Processes



San Gultekin , John Paisley

* Appeared at 2014 IEEE International Conference on Data Mining (ICDM) 

   Access Paper or Ask Questions