Seuraa
Amin Karbasi
Nimike
Viittaukset
Viittaukset
Vuosi
Lazier Than Lazy Greedy
B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause
arXiv preprint arXiv:1409.7938, 2015
3022015
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
3002014
Distributed submodular maximization: Identifying representative elements in massive data
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
Advances in Neural Information Processing Systems 26, 2013
2572013
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
IEEE Transactions on Information Theory 58 (1), 248-262, 2012
1412012
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on …, 2010
1412010
Learning local error bars for nonlinear regression
D Nix, A Weigend
Advances in neural information processing systems 7, 1994
1271994
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
1182014
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
1162020
Fast constrained submodular maximization: Personalized data summarization
B Mirzasoleiman, A Badanidiyuru, A Karbasi
International Conference on Machine Learning, 1358-1367, 2016
1162016
Gradient methods for submodular maximization
H Hassani, M Soltanolkotabi, A Karbasi
Advances in Neural Information Processing Systems 30, 2017
922017
Streaming weak submodularity: Interpreting neural networks on the fly
E Elenberg, AG Dimakis, M Feldman, A Karbasi
Advances in Neural Information Processing Systems 30, 2017
892017
Stochastic conditional gradient methods: From convex minimization to submodular maximization
A Mokhtari, H Hassani, A Karbasi
Journal of machine learning research, 2020
842020
Greed is good: Near-optimal submodular maximization via greedy optimization
M Feldman, C Harshaw, A Karbasi
Conference on Learning Theory, 758-784, 2017
732017
Distributed submodular maximization
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
The Journal of Machine Learning Research 17 (1), 8330-8373, 2016
732016
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
692010
Submodular maximization beyond non-negativity: Guarantees, fast algorithms, and applications
C Harshaw, M Feldman, J Ward, A Karbasi
International Conference on Machine Learning, 2634-2643, 2019
642019
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
632011
Submodular streaming in all its glory: Tight approximation, minimum memory and low adaptive complexity
E Kazemi, M Mitrovic, M Zadimoghaddam, S Lattanzi, A Karbasi
International Conference on Machine Learning, 3311-3320, 2019
622019
Scalable deletion-robust submodular maximization: Data summarization with privacy and fairness constraints
E Kazemi, M Zadimoghaddam, A Karbasi
International conference on machine learning, 2544-2553, 2018
58*2018
Do less, get more: Streaming submodular maximization with subsampling
M Feldman, A Karbasi, E Kazemi
Advances in Neural Information Processing Systems 31, 2018
582018
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Artikkelit 1–20