Maryam Aliakbarpour
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | How fast can you find a good hypothesis? | Anders Aamand, Maryam Aliakbarpour, Justin Y. Chen, Sandeep Silwal |
| 2026 | COLT | Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions. | Maryam Aliakbarpour, Alireza Azizi, Ria Stevens |
| 2026 | SODA | On the Structure of Replicable Hypothesis Testers. | Anders Aamand, Maryam Aliakbarpour, Justin Y. Chen, Shyam Narayanan, Sandeep Silwal |
| 2025 | AISTATS | Privacy in Metalearning and Multitask Learning: Modeling and Separations. | Maryam Aliakbarpour, Konstantina Bairaktari, Adam Smith, Marika Swanberg, Jonathan R. Ullman |
| 2025 | AISTATS | Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy. | Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas A. Courtade, Alireza Fallah, Michael I. Jordan |
| 2025 | COLT | Better Private Distribution Testing by Leveraging Unverified Auxiliary Data. | Maryam Aliakbarpour, Arnav Burudgunte, Clment L. Canonne, Ronitt Rubinfeld |
| 2025 | FOCS | Adversarially Robust Quantum State Learning and Testing. | Maryam Aliakbarpour, Vladimir Braverman, Nai-Hui Chia, Yuhan Liu |
| 2024 | COLT | Metalearning with Very Few Samples Per Task. | Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Nathan Srebro, Jonathan R. Ullman |
| 2023 | ALT | Testing Tail Weight of a Distribution Via Hazard Rate. | Maryam Aliakbarpour, Amartya Shankha Biswas, Kavya Ravichandran, Ronitt Rubinfeld |
| 2021 | ICDE | Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. | Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld |
| 2021 | ISIT | Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. | Shahab Asoodeh, Maryam Aliakbarpour, Flvio P. Calmon |
| 2019 | COLT | Testing Mixtures of Discrete Distributions. | Maryam Aliakbarpour, Ravi Kumar, Ronitt Rubinfeld |
| 2019 | COLT | Towards Testing Monotonicity of Distributions Over General Posets. | Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee |
| 2018 | ICML | Differentially Private Identity and Equivalence Testing of Discrete Distributions. | Maryam Aliakbarpour, Ilias Diakonikolas, Ronitt Rubinfeld |
| 2016 | COLT | Learning and Testing Junta Distributions. | Maryam Aliakbarpour, Eric Blais, Ronitt Rubinfeld |