Követés
Amin Karbasi
Amin Karbasi
Robust Intelligence, Yale University (on leave)
E-mail megerősítve itt: yale.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Lazier Than Lazy Greedy
B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause
arXiv preprint arXiv:1409.7938, 2015
4442015
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
4132014
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
3142013
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
1992020
Fast constrained submodular maximization: Personalized data summarization
B Mirzasoleiman, A Badanidiyuru, A Karbasi
International Conference on Machine Learning, 1358-1367, 2016
1842016
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
IEEE Transactions on Information Theory 58 (1), 248-262, 2012
1732012
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on …, 2010
1732010
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
1552014
Learning local error bars for nonlinear regression
D Nix, A Weigend
Advances in neural information processing systems 7, 1994
152*1994
Gradient methods for submodular maximization
H Hassani, M Soltanolkotabi, A Karbasi
Advances in Neural Information Processing Systems 30, 2017
1492017
Tree of attacks: Jailbreaking black-box llms automatically
A Mehrotra, M Zampetakis, P Kassianik, B Nelson, H Anderson, Y Singer, ...
arXiv preprint arXiv:2312.02119, 2023
1462023
Stochastic conditional gradient methods: From convex minimization to submodular maximization
A Mokhtari, H Hassani, A Karbasi
Journal of machine learning research 21 (105), 1-49, 2020
1342020
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
1262019
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
1152017
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
1082019
Distributed submodular maximization
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
The Journal of Machine Learning Research 17 (1), 8330-8373, 2016
1002016
Online continuous submodular maximization
L Chen, H Hassani, A Karbasi
International Conference on Artificial Intelligence and Statistics, 1896-1905, 2018
982018
Greed is good: Near-optimal submodular maximization via greedy optimization
M Feldman, C Harshaw, A Karbasi
Conference on Learning Theory, 758-784, 2017
982017
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
91*2018
Deletion-robust submodular maximization: Data summarization with “the right to be forgotten”
B Mirzasoleiman, A Karbasi, A Krause
International Conference on Machine Learning, 2449-2458, 2017
912017
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Cikkek 1–20