Hassan Ashtiani


Assistant Professor
Department of Computing and Software
Faculty of Engineering
McMaster University

Email: zokaeiam@mcmaster.ca
Phone: +1-905-525-9140 ext. 27234
Office: ITB 246
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Publications

  1. Private and polynomial time algorithms for learning Gaussians and beyond [paper]
    Hassan Ashtiani, Christopher Liaw
    Preprint

  2. Privately Learning Mixtures of Axis-Aligned Gaussians [paper]
    Ishaq Aden-Ali, Hassan Ashtiani, Christopher Liaw
    NeurIPS 2021

  3. On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians [paper]
    Ishaq Aden-Ali, Hassan Ashtiani, Gautam Kamath
    ALT 2021

  4. Near-optimal Sample Complexity Bounds for Robust Learning of Gaussian Mixtures via Compression Schemes [paper], [arXiv]
    Hassan Ashtiani, Shai Ben-David, Nick Harvey, Chris Liaw, Abbas Mehrabian, Yaniv Plan
    Journal of the ACM, 2020

  5. Black-box Certification and Learning under Adversarial Perturbations [paper]
    Hassan Ashtiani, Vinayak Pathak, Ruth Urner
    ICML 2020

  6. On the Sample Complexity of Learning Sum-Product Networks [paper]
    Ishaq Aden-Ali and Hassan Ashtiani
    AISTATS 2020

  7. Disentangled behavioral representations [paper]
    Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong
    NeurIPS 2019

  8. Online Nearest Neighbor Search Using Hamming Weight Trees [paper]
    Sepehr Eghbali, Hassan Ashtiani, Ladan Tahvildari
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019

  9. Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes [paper]
    Hassan Ashtiani, Shai Ben-David, Nick Harvey, Chris Liaw, Abbas Mehrabian, Yaniv Plan
    NeurIPS (NIPS) 2018, Oral Presentation (Best Paper Award)

  10. Learning Mixtures of High-dimensional Gaussians [paper]
    Hassan Ashtiani, Abbas Mehrabian
    Canadian Mathematical Society Notes (Invited Note)

  11. Sample-Efficient Learning of Mixtures [paper]
    Hassan Ashtiani, Shai Ben-David, Abbas Mehrabian
    AAAI 2018

  12. Online Nearest Neighbor Search in Binary Space [paper (full version)]
    Sepehr Eghbali, Hassan Ashtiani, Ladan Tahvildari
    ICDM 2017

  13. Clustering with Same-Cluster Queries [paper, slides, video]
    Hassan Ashtiani, Shrinu Kushagra, Shai Ben-David
    NIPS 2016, Oral Presenattion

  14. A Dimension-Independent 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

  15. Representation Learning for Clustering: A Statistical Framework [paper, poster, presentation]
    Hassan Ashtiani, Shai Ben-David
    UAI 2015, Oral Presnetation

  16. Bandit-Based Local Feature Subset Selection [paper]
    Hassan Ashtiani, Majid Nili Ahmadabadi, Babak Nadjar Araabi
    Neurocomputing, 2014

  17. Bandit-Based Structure Learning for Bayesian Network Classifiers [paper]
    Sepehr Eghbali, Hassan Ashtiani, Majid Nili Ahmadabadi, Babak Nadjar Araabi
    ICONIP, 2012

  18. 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, H. Ashtiani, A. Farokhnia, and M. Ghafari Gousheh
    Journal of Hydrology, 2011

  19. A Disaster Invariant Feature for Localization [paper]
    Behdad Soleimani, Hassan Ashtiani, Behrouz Haji Soleimani, Hadi Moradi
    IROS, 2010

  20. An attention-based 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

  21. Graph signature for self-reconfiguration planning of modules with symmetry [paper]
    Masoud Asadpour, Hassan Ashtiani, Alexander Sprowitz, Auke Ijspeert
    IROS, 2009