| 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 | 82 | 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 | 60* | 2018 |
| Differentially Private Identity and Equivalence Testing of Discrete Distributions M Aliakbarpour, I Diakonikolas, R Rubinfeld International Conference on Machine Learning, 169-178, 2018 | 52* | 2018 |
| Local Differential Privacy Is Equivalent to Contraction of -Divergence S Asoodeh, M Aliakbarpour, FP Calmon arXiv preprint arXiv:2102.01258, 2021 | 29* | 2021 |
| Private testing of distributions via sample permutations M Aliakbarpour, I Diakonikolas, D Kane, R Rubinfeld Advances in Neural Information Processing Systems 32, 2019 | 23 | 2019 |
| Learning and testing junta distributions M Aliakbarpour, E Blais, R Rubinfeld Conference on Learning Theory, 19-46, 2016 | 17 | 2016 |
| Estimation of entropy in constant space with improved sample complexity M Aliakbarpour, A McGregor, J Nelson, E Waingarten Advances in Neural Information Processing Systems 35, 32474-32486, 2022 | 8 | 2022 |
| 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 | 7 | 2019 |
| 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 | 4 | 2021 |
| Testing properties of multiple distributions with few samples M Aliakbarpour, S Silwal arXiv preprint arXiv:1911.07324, 2019 | 3 | 2019 |
| Testing Mixtures of Discrete Distributions M Aliakbarpour, R Kumar, R Rubinfeld Conference on Learning Theory, 83-114, 2019 | 3 | 2019 |
| Hypothesis selection with memory constraints M Aliakbarpour, M Bun, A Smith Advances in Neural Information Processing Systems 36, 50453-50481, 2023 | 2 | 2023 |
| Differentially Private Medians and Interior Points for Non-Pathological Data M Aliakbarpour, R Silver, T Steinke, J Ullman arXiv preprint arXiv:2305.13440, 2023 | 2 | 2023 |
| Metalearning with very few samples per task M Aliakbarpour, K Bairaktari, G Brown, A Smith, N Srebro, J Ullman The Thirty Seventh Annual Conference on Learning Theory, 46-93, 2024 | 1 | 2024 |
| Testing determinantal point processes K Gatmiry, M Aliakbarpour, S Jegelka Advances in Neural Information Processing Systems 33, 12779-12791, 2020 | 1 | 2020 |
| LIPIcs, Volume 287, ITCS 2024, Complete Volume}} V Guruswami, S Aaronson, H Buhrman, W Kretschmer, S Aaronson, ... 15th Innovations in Theoretical Computer Science Conference (ITCS 2024) 287, 9, 2024 | | 2024 |
| Testing Tail Weight of a Distribution Via Hazard Rate M Aliakbarpour, AS Biswas, K Ravichandran, R Rubinfeld International Conference on Algorithmic Learning Theory, 34-81, 2023 | | 2023 |
| Distribution testing: classical and new paradigms M Aliakbarpour Massachusetts Institute of Technology, 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, 433-446, 2014 | | 2014 |
Ronitt RubinfeldProfessor of Computer Science, MIT and Tel Aviv University在 csail.mit.edu 的电子邮件经过验证
