Ioannis (Yannis) Mitliagkas
Ioannis (Yannis) Mitliagkas
Assistant Professor at University of Montréal
Verified email at iro.umontreal.ca - Homepage
TitleCited byYear
Memory limited, streaming PCA
I Mitliagkas, C Caramanis, P Jain
Advances in Neural Information Processing Systems, 2886-2894, 2013
1252013
Learning Representations and Generative Models for 3D Point Clouds
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas
International Conference on Machine Learning, 2018
892018
Joint power and admission control for ad-hoc and cognitive underlay networks: Convex approximation and distributed implementation
I Mitliagkas, ND Sidiropoulos, A Swami
IEEE Transactions on Wireless Communications 10 (12), 4110-4121, 2011
732011
Asynchrony begets momentum, with an application to deep learning
I Mitliagkas, C Zhang, S Hadjis, C Ré
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
582016
Yellowfin and the art of momentum tuning
J Zhang, I Mitliagkas
SysML, 2019
462019
Representation learning and adversarial generation of 3D point clouds
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas
arXiv preprint arXiv:1707.02392, 2017
392017
Deep learning at 15pf: supervised and semi-supervised classification for scientific data
T Kurth, J Zhang, N Satish, E Racah, I Mitliagkas, MMA Patwary, T Malas, ...
Proceedings of the International Conference for High Performance Computing …, 2017
342017
Omnivore: An optimizer for multi-device deep learning on cpus and gpus
S Hadjis, C Zhang, I Mitliagkas, D Iter, C Ré
arXiv preprint arXiv:1606.04487, 2016
322016
Convex approximation-based joint power and admission control for cognitive underlay networks
I Mitliagkas, ND Sidiropoulos, A Swami
2008 International Wireless Communications and Mobile Computing Conference …, 2008
302008
Manifold mixup: Learning better representations by interpolating hidden states
V Verma, A Lamb, C Beckham, A Najafi, A Courville, I Mitliagkas, ...
26*2018
FrogWild!: fast PageRank approximations on graph engines
I Mitliagkas, M Borokhovich, AG Dimakis, C Caramanis
Proceedings of the VLDB Endowment 8 (8), 874-885, 2015
232015
Parallel SGD: When does averaging help?
J Zhang, C De Sa, I Mitliagkas, C Ré
arXiv preprint arXiv:1606.07365, 2016
192016
Streaming PCA with many missing entries
I Mitliagkas, C Caramanis, P Jain
Preprint, 2014
192014
Negative momentum for improved game dynamics
G Gidel, RA Hemmat, M Pezeshki, G Huang, R Lepriol, S Lacoste-Julien, ...
Artificial Intelligence and Statistics, 2019
152019
Accelerated stochastic power iteration
C De Sa, B He, I Mitliagkas, C Ré, P Xu
Proceedings of machine learning research 84, 58, 2018
152018
Finding dense subgraphs via low-rank bilinear optimization
D Papailiopoulos, I Mitliagkas, A Dimakis, C Caramanis
International Conference on Machine Learning, 1890-1898, 2014
132014
Scan order in Gibbs sampling: Models in which it matters and bounds on how much
BD He, CM De Sa, I Mitliagkas, C Ré
Advances in neural information processing systems, 1-9, 2016
112016
Fortified networks: Improving the robustness of deep networks by modeling the manifold of hidden representations
A Lamb, J Binas, A Goyal, D Serdyuk, S Subramanian, I Mitliagkas, ...
arXiv preprint arXiv:1804.02485, 2018
102018
User rankings from comparisons: Learning permutations in high dimensions
I Mitliagkas, A Gopalan, C Caramanis, S Vishwanath
2011 49th Annual Allerton Conference on Communication, Control, and …, 2011
102011
Manifold mixup: Better representations by interpolating hidden states
V Verma, A Lamb, C Beckham, A Najafi, I Mitliagkas, A Courville, ...
arXiv preprint arXiv:1806.05236, 2018
82018
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Articles 1–20