Seuraa
Amin Karbasi
Amin Karbasi
Robust Intelligence, Yale University (on leave)
Vahvistettu sähköpostiosoite verkkotunnuksessa yale.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Lazier Than Lazy Greedy
B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause
arXiv preprint arXiv:1409.7938, 2015
4312015
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
4012014
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
3082013
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
1892020
Fast constrained submodular maximization: Personalized data summarization
B Mirzasoleiman, A Badanidiyuru, A Karbasi
International Conference on Machine Learning, 1358-1367, 2016
1802016
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
IEEE Transactions on Information Theory 58 (1), 248-262, 2012
1662012
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on …, 2010
1662010
Learning local error bars for nonlinear regression
D Nix, A Weigend
Advances in neural information processing systems 7, 1994
153*1994
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
1522014
Gradient methods for submodular maximization
H Hassani, M Soltanolkotabi, A Karbasi
Advances in Neural Information Processing Systems 30, 2017
1442017
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
1312020
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
1152019
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
1052019
Distributed submodular maximization
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
The Journal of Machine Learning Research 17 (1), 8330-8373, 2016
982016
Online continuous submodular maximization
L Chen, H Hassani, A Karbasi
International Conference on Artificial Intelligence and Statistics, 1896-1905, 2018
962018
Greed is good: Near-optimal submodular maximization via greedy optimization
M Feldman, C Harshaw, A Karbasi
Conference on Learning Theory, 758-784, 2017
962017
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
88*2018
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
872023
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
862017
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Artikkelit 1–20