San Gultekin

Research Scientist at Yahoo!

CV

Publications

For the most up-to-date versions of manuscripts, please refer below, not to the arXiv versions.

• Risk Bounds for Low Cost Bipartite Ranking
  Conference on Uncertainty in Artificial Intelligence (UAI), 2020
  San Gultekin and John Paisley
  


• MBA: Mini-Batch AUC Optimization [Code]
  IEEE Transactions on Neural Networks and Learning Systems, to appear.
  San Gultekin, Avishek Saha, Adwait Ratnaparkhi, and John Paisley


• Online Forecasting Matrix Factorization [Code]
  IEEE Transactions on Signal Processing, 2019
  San Gultekin and John Paisley


• Asymptotic Simulated Annealing for Variational Inference
  IEEE Global Communications Conference (GLOBECOM), 2018
  San Gultekin, Aonan Zhang, and John Paisley


• Nonlinear Kalman Filtering with Divergence Minimization [Code]
  IEEE Transactions on Signal Processing, 2017
  San Gultekin and John Paisley


• Stochastic Variational Inference for the HDP-HMM
  Artificial Intelligence and Statistics (AISTATS), 2016
  Aonan Zhang, San Gultekin, and John Paisley


• A Collaborative Kalman Filter for Time-Evolving Dyadic Processes
  IEEE International Conference on Data Mining (ICDM), 2014
  San Gultekin and John Paisley


• Noise Enhanced Hypothesis Testing According to Restricted Neyman-Pearson Criterion
  Digital Signal Processing, 2014
  Suat Bayram, San Gultekin, and Sinan Gezici


• Noise Enhanced Detection in Restricted Neyman-Pearson Framework
  IEEE Workshop on SPAWC (SPAWC), 2012
  Suat Bayram, San Gultekin, and Sinan Gezici

Notes

• Forward Kalman Filter


• Matrix Inversion Lemma