Follow
Maryam Aliakbarpour
Maryam Aliakbarpour
Boston University / Northeastern
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
I've seen" enough" incrementally improving visualizations to support rapid decision making
S Rahman, M Aliakbarpour, HK Kong, E Blais, K Karahalios, ...
Proceedings of the VLDB Endowment 10 (11), 1262-1273, 2017
552017
Sublinear-Time Algorithms for Counting Star Subgraphs via Edge Sampling
M Aliakbarpour, AS Biswas, T Gouleakis, J Peebles, R Rubinfeld, ...
Algorithmica 80 (2), 668-697, 2018
40*2018
Differentially Private Identity and Equivalence Testing of Discrete Distributions
M Aliakbarpour, I Diakonikolas, R Rubinfeld
International Conference on Machine Learning, 169-178, 2018
36*2018
Private testing of distributions via sample permutations
M Aliakbarpour, I Diakonikolas, D Kane, R Rubinfeld
Advances in Neural Information Processing Systems 32, 2019
142019
Learning and testing junta distributions
M Aliakbarpour, E Blais, R Rubinfeld
Conference on Learning Theory, 19-46, 2016
102016
Towards Testing Monotonicity of Distributions Over General Posets
M Aliakbarpour, T Gouleakis, J Peebles, R Rubinfeld, A Yodpinyanee
Conference on Learning Theory, 34-82, 2019
42019
Local Differential Privacy Is Equivalent to Contraction of an -Divergence
S Asoodeh, M Aliakbarpour, FP Calmon
2021 IEEE International Symposium on Information Theory (ISIT), 545-550, 2021
22021
Rapid approximate aggregation with distribution-sensitive interval guarantees
S Macke, M Aliakbarpour, I Diakonikolas, A Parameswaran, R Rubinfeld
2021 IEEE 37th International Conference on Data Engineering (ICDE), 1703-1714, 2021
22021
Local Differential Privacy Is Equivalent to Contraction of -Divergence
S Asoodeh, M Aliakbarpour, FP Calmon
arXiv preprint arXiv:2102.01258, 2021
22021
Testing Mixtures of Discrete Distributions
M Aliakbarpour, R Kumar, R Rubinfeld
Conference on Learning Theory, 83-114, 2019
22019
Testing Properties of Multiple Distributions with Few Samples
M Aliakbarpour, S Silwal
arXiv preprint arXiv:1911.07324, 2019
12019
Testing Tail Weight of a Distribution Via Hazard Rate
M Aliakbarpour, AS Biswas, K Ravichandran, R Rubinfeld
arXiv preprint arXiv:2010.02888, 2020
2020
Distribution testing: classical and new paradigms
M Aliakbarpour
Massachusetts Institute of Technology, 2020
2020
Testing Determinantal Point Processes
K Gatmiry, M Aliakbarpour, S Jegelka
Advances in Neural Information Processing Systems 33, 12779-12791, 2020
2020
Learning and testing junta distributions over hypercubes
M Aliakbarpour
Massachusetts Institute of Technology, 2015
2015
Join of two graphs admits a nowhere-zero 3-flow
S Akbari, M Aliakbarpour, N Ghanbari, E Nategh, H Shahmohamad
Czechoslovak Mathematical Journal 64 (2), 433-446, 2014
2014
Minimum Flow Number of Complete Multipartite Graphs
S Akbari, M Aliakbarpourc, N Ghanbarid, E Nategh, H Shahmohamade
Sumbitted to the Bulletin of ICA, 2011
2011
Strong Data Processing Inequalities for Statistical Estimation Under Local Differential Privacy
S Asoodeh, M Aliakbarpour, FP Calmon
Testing Determinantal Point Processes Download PDF
K Gatmiry, M Aliakbarpour, S Jegelka
Testing Properties of Multiple Distributions with Few Samples Download PDF
M Aliakbarpour, S Silwal
The system can't perform the operation now. Try again later.
Articles 1–20