Active and Multitask Learning Approaches to Low-Resource Neural Machine Translation __ Gholam Reza Haffari
September 2, 2020
Active and Multitask Learning Approaches to Low-Resource Neural Machine Translation
Talk Active and Multitask Learning Approaches to Low-Resource Neural Machine Translation September 2, 2020(12 Shahrivar, 1399) Venue This Talk is online events@teias.institute +982189174612 Dr. Gholam Reza Haffari Associate Professor in Department of Data Science & AI of Monash University Overview Machine translation is being revolutionized by the introduction of neural models. However, it is challenging…
Budgeted Experiment Design for Causal Structure Learning __ Saber Salehkaleybar
August 19, 2020
Regulations related to cheating in university exams
As April turns into May, the focus in many college and university classrooms will … security: How do we keep students from cheating in online exams? … the relaxation of online standards by DeVos/Jones, none of this matters.
Continuation of university activities on holidays
In addition, no programs, events or activities will be held through the same time frame. All students, faculty and staff returning from international
New Computer Engineering Master’ Degree – Data Science
New Computer Engineering Master’s
Dr Sepehr Ekbatani joined TeIAS as an Economics and Finance faculty member
I am an economist with research interests in Applied Microeconomics, Labor and Education Economics. I received my PhD in Economics from UCLA in 2020, my MSc and BSc from Sharif University of Technology in Economics and Electrical Engineering. I joined the economics department of Tehran Institute for Advanced Studies in 2020.
Dr Pejman Abedifar joined TeIAS as an Economics and Finance faculty member
Prior to joining TeIAS in March 2020, Pejman was an assistant professor at the University of St Andrews for nearly 6 years. He earned his PhD in Economics (specialization: Money, Finance & Banking) from Université de Limoges, France in December 2013.
New Published by Dr. Morovati
Mohammad Morovati earned his BS.c in electrical engineering from Sharif University of Technology before switching to economics for his higher education. He earned his PhD from University of Texas at Austin in 2013 working on Energy Economics and Finance. He then joined Stanford University as a research fellow where he worked for 3 years. He has been one of the founding members of Tehran Institute for Advanced Studies and has served as its Acting Managing Director since 2017.
Budgeted Experiment Design for Causal Structure Learning
Talk Budgeted Experiment Design for Causal Structure Learning August 19, 2020(29 Mordad, 1399) Venue This Talk is online events@teias.institute +982189174612 Dr. Saber Salehkaleybar Assistant Professor of Electrical Engineering at Sharif University of Technology Overview The first part of the talk starts with an introduction to causal inference. We introduce the principle of invariant mechanisms as…