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Hassan Ashtiani
Hassan Ashtiani
Verified email at mcmaster.ca - Homepage
Title
Cited by
Cited by
Year
Near-optimal sample complexity bounds for robust learning of gaussian mixtures via compression schemes
H Ashtiani, S Ben-David, NJA Harvey, C Liaw, A Mehrabian, Y Plan
Journal of the ACM (JACM) 67 (6), 1-42, 2020
118*2020
Clustering with same-cluster queries
H Ashtiani, S Kushagra, S Ben-David
Advances in neural information processing systems 29, 2016
1012016
Private and polynomial time algorithms for learning Gaussians and beyond
H Ashtiani, C Liaw
Conference on Learning Theory, 1075-1076, 2022
492022
On the sample complexity of privately learning unbounded high-dimensional gaussians
I Aden-Ali, H Ashtiani, G Kamath
Algorithmic Learning Theory, 185-216, 2021
452021
Graph signature for self-reconfiguration planning of modules with symmetry
M Asadpour, H Ashtiani, A Sproewitz, A Ijspeert
Intelligent Robots and Systems (IROS 2009), IEEE/RSJ International …, 2009
382009
Disentangled behavioural representations
A Dezfouli, H Ashtiani, O Ghattas, R Nock, P Dayan, CS Ong
Advances in neural information processing systems 32, 2019
292019
Sample-Efficient Learning of Mixtures
H Ashtiani, S Ben-David, A Mehrabian
AAAI Conference on Artificial Intelligence (AAAI), 2018
292018
Black-box certification and learning under adversarial perturbations
H Ashtiani, V Pathak, R Urner
International Conference on Machine Learning, 388-398, 2020
242020
Privately learning mixtures of axis-aligned gaussians
I Aden-Ali, H Ashtiani, C Liaw
Advances in Neural Information Processing Systems 34, 3925-3938, 2021
172021
Online nearest neighbor search using hamming weight trees
S Eghbali, H Ashtiani, L Tahvildari
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (7), 1729-1740, 2019
172019
Online nearest neighbor search in binary space
S Eghbali, H Ashtiani, L Tahvildari
2017 IEEE International Conference on Data Mining (ICDM), 853-858, 2017
162017
Representation learning for clustering: a statistical framework
H Ashtiani, S Ben-David
Conference on Uncertainty in Artificial Intelligence. AUAI Press, 2015, 2015
162015
A disaster invariant feature for localization
B Soleimani, H Ashtiani, BH Soleimani, H Moradi
Intelligent Robots and Systems (IROS 2010), IEEE/RSJ International …, 2010
162010
Polynomial time and private learning of unbounded gaussian mixture models
J Arbas, H Ashtiani, C Liaw
International Conference on Machine Learning, 1018-1040, 2023
152023
Bandit-based local feature subset selection
H Ashtiani, MN Ahmadabadi, BN Araabi
Neurocomputing 138, 371-382, 2014
142014
Some techniques in density estimation
H Ashtiani, A Mehrabian
arXiv preprint arXiv:1801.04003, 2018
102018
A dimension-independent generalization bound for kernel supervised principal component analysis
H Ashtiani, A Ghodsi
Feature Extraction: Modern Questions and Challenges, 19-29, 2015
102015
Mixtures of gaussians are privately learnable with a polynomial number of samples
M Afzali, H Ashtiani, C Liaw
arXiv preprint arXiv:2309.03847, 2023
72023
Adversarially robust learning with tolerance
H Ashtiani, V Pathak, R Urner
International Conference on Algorithmic Learning Theory, 115-135, 2023
62023
Benefits of additive noise in composing classes with bounded capacity
A Fathollah Pour, H Ashtiani
Advances in Neural Information Processing Systems 35, 32709-32722, 2022
32022
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