Group Members

Picture of Yair Goldberg

Yair Goldberg

Principal Investigator
email:  yairgo@technion.ac.il
Address:  Bloomfield, room 501
 
Picture of Ben Filiarsky

Ben Filiarsky

M.Sc. Student
email:  fben@campus.technion.ac.il
 
Picture of Ilan Livne

Ilan Livne

Ph.D. Candidate
email:  ilan.livne@campus.technion.ac.il
My current research focuses on regression models in the context of the high-dimensional and semi-supervised setting. In such a setting, an important and challenging goal is to quantify how much variation in the response variable can be explained by the predictors, versus how much of the variation is left unexplained. My research aims to improve current methods of performing statistical inference by incorporating the additional information that is available in the unlabeled data. Co-advised with David Azriel. Continue Reading Ilan Livne
 
Picture of Titantian Liu

Titantian Liu

Ph.D. Candidate
email:  tiantian.liu@campus.technion.ac.il
I currently focus on method development of kernel machines on missing responses, missing covariates, and multiple instances of data where instances are arranged in bags. In survival analysis, I am working on hypothesis testing when the survival curves are crossing. Co-advised with Jin Xu. Continue Reading Titantian Liu
 
Picture of Oron Madmon

Oron Madmon

M.Sc. Student
email:  oronmadmon@campus.technion.ac.il
Working to estimate the uncertainty in a single prediction task, i.e., given an algorithm and a new sample, how confident can we be with its prediction? Continue Reading Oron Madmon
 
Picture of Yael Travis-Lumer

Yael Travis-Lumer

Ph.D. Candidate
email:  travis-lumer@campus.technion.ac.il
I am a Ph.D. candidate studying statistics and machine learning. Our research goal is to provide statistical inference for machine learning techniques such as kernel machines and deep learning. We will utilize Bayesian methods to quantify uncertainty, to select hyper-parameter values, and to bound the generalization error. Continue Reading Yael Travis-Lumer
 

 

Former Members

Valentin Vancak, Ph.D. (2021)
Systematic Analysis of the Number Needed to Treat

Yotam Leibovici, M.Sc. (2020)
Improving Efficiency of Tests for Composite Null Hypotheses

Jonathan Yefe-Nof, Ph.D., (2020) Co-advised with Ya’acov Ritov
Challenges in statistical inference for complicated datasets structures

Yael Travis-Lumer, M.Sc. (2016)
Support Vector Machines for Current Status Data

Valentin Vancak, M.Sc. (2016)
Continuous Statistical Models: With or Without Truncation Parameters?

Afraa Araidy, M.Sc. (2014)
Fitting Models for Twins Data with Missing Data