Amin Karbasi
Title
Cited by
Cited by
Year
Pooling designs and nonadaptive group testing: important tools for DNA sequencing
FK Hwang, D Du
World Scientific, 2006
2862006
Lazier Than Lazy Greedy
B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause
arXiv preprint arXiv:1409.7938, 2015
2652015
Streaming submodular maximization: Massive data summarization on the fly
A Badanidiyuru, B Mirzasoleiman, A Karbasi, A Krause
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
2652014
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data.
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
NIPS, 2049-2057, 2013
2392013
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
IEEE Transactions on Information Theory 58 (1), 248-262, 2012
1192012
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on …, 2010
1192010
Near-optimally teaching the crowd to classify
A Singla, I Bogunovic, G Bartók, A Karbasi, A Krause
International Conference on Machine Learning, 154-162, 2014
1112014
Fast constrained submodular maximization: Personalized data summarization
B Mirzasoleiman, A Badanidiyuru, A Karbasi
International Conference on Machine Learning, 1358-1367, 2016
1042016
Gradient methods for submodular maximization
H Hassani, M Soltanolkotabi, A Karbasi
arXiv preprint arXiv:1708.03949, 2017
802017
Streaming weak submodularity: Interpreting neural networks on the fly
ER Elenberg, AG Dimakis, M Feldman, A Karbasi
arXiv preprint arXiv:1703.02647, 2017
752017
There is no single functional atlas even for a single individual: Functional parcel definitions change with task
M Salehi, AS Greene, A Karbasi, X Shen, D Scheinost, RT Constable
NeuroImage 208, 116366, 2020
712020
Greed is good: Near-optimal submodular maximization via greedy optimization
M Feldman, C Harshaw, A Karbasi
Conference on Learning Theory, 758-784, 2017
662017
Sensor network localization from local connectivity: Performance analysis for the mds-map algorithm
S Oh, A Montanari, A Karbasi
2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo …, 2010
652010
Stochastic conditional gradient methods: From convex minimization to submodular maximization
A Mokhtari, H Hassani, A Karbasi
Journal of machine learning research, 2020
642020
Near optimal bayesian active learning for decision making
S Javdani, Y Chen, A Karbasi, A Krause, D Bagnell, S Srinivasa
Artificial Intelligence and Statistics, 430-438, 2014
602014
Distributed submodular maximization
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
The Journal of Machine Learning Research 17 (1), 8330-8373, 2016
592016
Group testing with probabilistic tests: Theory, design and application
M Cheraghchi, A Hormati, A Karbasi, M Vetterli
IEEE Transactions on Information Theory 57 (10), 7057-7067, 2011
592011
Sequential information maximization: When is greedy near-optimal?
Y Chen, SH Hassani, A Karbasi, A Krause
Conference on Learning Theory, 338-363, 2015
512015
Online continuous submodular maximization
L Chen, H Hassani, A Karbasi
International Conference on Artificial Intelligence and Statistics, 1896-1905, 2018
502018
Conditional gradient method for stochastic submodular maximization: Closing the gap
A Mokhtari, H Hassani, A Karbasi
International Conference on Artificial Intelligence and Statistics, 1886-1895, 2018
492018
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Articles 1–20