Sayan's homepage

Conference Talks

Past:

  1. Reference Prior Development for Exponential Random Graph Model — Sayan Chakraborty, Michigan State University; Tapabrata Maiti, Michigan State University, Joint Statistical Meetings, 2014
  2. Latent Space Linkages of Three US Auto Manufacturing Giants, Sayan Chakraborty, Arnab Bhattacharjee, Taps Maiti, European Seminar on Bayesian Econometrics, 2015
  3. Region-Wise Variable Selection with Bayesian Group Lasso — Sayan Chakraborty, Michigan State University; Tapabrata Maiti, Michigan State University, Joint Statistical Meetings, 2016
  4. Bayesian Optimization under Multivariate Binary Response Surface using Latent Variables, Sayan Chakraborty, Michigan State University, Spring Research Conference, 2016
  5. Amazon Product Co-Purchasing Network Estimation Through ERGM Model Using Reference Prior; Sayan Chakraborty, Michigan State University, Conference on Statistical Practice, 2017
  6. Root Cause detection among anomalous time series using temporal state alignment; Sayan Chakraborty, Zillow Inc., Joint Statistical Meetings, 2019
  7. Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment; S Chakraborty, S Shah, K Soltani, A Swigart, ICMLA 2019
  8. Building an Automated and Self-Aware Anomaly Detection System; Chakraborty, S., Shah, S., Soltani, K., Swigart, A., Yang, L., & Buckingham, K. Big Data 2020
  9. Scaling AutoML-Driven Anomaly Detection with Luminaire; Sayan Chakraborty, Zillow Inc., Smit Shah, Zillow Inc., Data+AI Summit 2021