Hassan Ashtiani
David Cheriton School of Computer Science
University of Waterloo Office: DC3519 mhzokaei at uwaterloo.ca
I study computer science as a PhD student at University of Waterloo. Broadly speaking, my research interest is machine learning. I am advised by Professor Shai BenDavid.

Current Research
I am interested to extend the classical results of learning theory to nonstandard learning tasks  e.g., clustering and semisupervised learning.
This can involve defining a learning model, making assumptions about the task/data, and studying the computational, statistical and informationtheoretic aspects of learning in that model.
Publications
 Clustering with SameCluster Queries
[paper, slides]
Hassan Ashtiani, Shrinu Kushagra, Shai BenDavid
NIPS 2016, Oral Presenattion  A DimensionIndependent Generalization Bound for Kernel Supervised Principal Component Analysis
[paper]
Hassan Ashtiani, Ali Ghodsi
JMLR Workshop and Conference Proceedings, Volume 44: NIPS Workshop on Feature Extraction: Modern Questions and Challenges, 2015  Representation Learning for Clustering: A Statistical Framework
[paper, poster, presentation]
Hassan Ashtiani, Shai BenDavid
UAI 2015, Oral Presnetation  BanditBased Local Feature Subset Selection
[paper]
Hassan Ashtiani, Majid Nili Ahmadabadi, Babak Nadjar Araabi
Neurocomputing, 2014  BanditBased Structure Learning for Bayesian Network Classifiers
[paper]
Sepehr Eghbali, Hassan Ashtiani, Majid Nili Ahmadabadi, Babak Nadjar Araabi
ICONIP, 2012  Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward
selection techniques for monthly stream flow prediction [paper]
Noori, R., A. R. Karbassi, A. Moghaddamnia, D. Han, Hassan Ashtiani, A. Farokhnia, and M. Ghafari Gousheh
Journal of Hydrology, 2011  A Disaster Invariant Feature for Localization
[paper]
Behdad Soleimani, Hassan Ashtiani, Behrouz Haji Soleimani, Hadi Moradi
IROS, 2010  An attentionbased approach for learning how to fuse decisions of local experts
Maryam S. Mirian, Majid Nili Ahmadabadi, Babak Nadjar Araabi and Hassan Ashtiani
NIPS Workshop on Understanding Multiple Kernel Learning Methods, 2009  Graph signature for selfreconfiguration planning of modules with symmetry
[paper]
Masoud Asadpour, Hassan Ashtiani, Alexander Sprowitz, Auke Ijspeert
IROS, 2009
Updates
 Our paper on "Clustering with samecluster queries" was accepted for oral presentation in NIPS'16
 I was awarded the Cheriton Scholarship for 20162017.
 I was invited to give a talk about Clustering with Advice at university of Tehran, December 2015 [Presentation]
 Check out my guest lectures for the machine learning course at UWaterloo [Lecture 5, Lecture 6]
 Thanks to Zokaei part of my last name, I was the last name in the list of reviewers for COLT'14 and COLT'15 :) [2014, 2015]
 I had an invited talk about ''distribution specific learnability'' at university of Tehran, December 2013 [Slides]
 I got Cheriton Scholarship (Type II) for 2012 to 2014