Conference Paper

1. "Empirical Analysis of a Stochastic Approximation Approach to Estimating Quasi-Stationary Distributions" joint with Jose H. Blanchet and Peter Glynn (To appear in EVOLVE 2012)
   

Unpublished Working Papers:

Applied:

1. Time series cost-sensitive learning for epilepsy detection
2. Smoothed support vector machine for epilepsy prediction
3. Learning under privileged information for epilepsy prediction
4. AdaBoost for epilepsy prediction

Theoretical:

1. Some theoretical lower bounds for transductive learning in the non-iid setting
2. Transductive logistic regression

Technical Report

1. With Rosenthal, J.S., Adaptive MCMC: Background, Theory, and Simulations. 
   

Presentations

1. Zheng, S.J., Smyth, H.S., Sen, J. "A mathematical model of inferior petrosal sinus sampling" - St.Michael's Hospital, Pituitary Conference
2. Smyth, H.S. and Zheng, S.J. "Diagnostic and Treatment of Cushing's Disease, a review of 119 cases." - Oxford University, Cushing's Disease Symposium