| 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 | 55 | 2017 |
| 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 | 14 | 2019 |
| Learning and testing junta distributions M Aliakbarpour, E Blais, R Rubinfeld Conference on Learning Theory, 19-46, 2016 | 10 | 2016 |
| 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 | 4 | 2019 |
| 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 | 2 | 2021 |
| 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 | 2 | 2021 |
| Local Differential Privacy Is Equivalent to Contraction of -Divergence S Asoodeh, M Aliakbarpour, FP Calmon arXiv preprint arXiv:2102.01258, 2021 | 2 | 2021 |
| Testing Mixtures of Discrete Distributions M Aliakbarpour, R Kumar, R Rubinfeld Conference on Learning Theory, 83-114, 2019 | 2 | 2019 |
| Testing Properties of Multiple Distributions with Few Samples M Aliakbarpour, S Silwal arXiv preprint arXiv:1911.07324, 2019 | 1 | 2019 |
| 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 | | |
Ronitt RubinfeldProfessor of Computer Science, MIT and Tel Aviv UniversityVerified email at csail.mit.edu
