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Maryam Aliakbarpour

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2018
[j2]
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  - journals/algorithmica/AliakbarpourBGP18
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Maryam Aliakbarpour, Amartya Shankha Biswas, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Sublinear-Time Algorithms for Counting Star Subgraphs via Edge Sampling. Algorithmica 80(2): 668-697 (2018)
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Maryam Aliakbarpour, Ilias Diakonikolas, Ronitt Rubinfeld:
Differentially Private Identity and Equivalence Testing of Discrete Distributions. ICML 2018: 169-178
2017
[j1]
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Sajjadur Rahman, Maryam Aliakbarpour, Hidy Kong, Eric Blais, Karrie Karahalios, Aditya G. Parameswaran, Ronitt Rubinfeld:
I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making. PVLDB 10(11): 1262-1273 (2017)
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Maryam Aliakbarpour, Ilias Diakonikolas, Ronitt Rubinfeld:
Differentially Private Identity and Closeness Testing of Discrete Distributions. CoRR abs/1707.05497 (2017)
2016
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Maryam Aliakbarpour, Eric Blais, Ronitt Rubinfeld:
Learning and Testing Junta Distributions. COLT 2016: 19-46
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Maryam Aliakbarpour, Amartya Shankha Biswas, Themistoklis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Sublinear-Time Algorithms for Counting Star Subgraphs with Applications to Join Selectivity Estimation. CoRR abs/1601.04233 (2016)

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