Maryam Aliakbarpour

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Sample Complexity

Metropolis Hastings

Mixtures Of Gaussians

Point Processes

Top Venues

Publications

Maryam Aliakbarpour, Rose Silver, Thomas Steinke, Jonathan R. Ullman
Differentially Private Medians and Interior Points for Non-Pathological Data. ITCS (2024)
Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Nathan Srebro, Jonathan R. Ullman
Metalearning with Very Few Samples Per Task. COLT (2024)
Maryam Aliakbarpour, Mark Bun, Adam Smith
Hypothesis Selection with Memory Constraints. NeurIPS (2023)
Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Jonathan R. Ullman
Metalearning with Very Few Samples Per Task. CoRR (2023)
Maryam Aliakbarpour, Amartya Shankha Biswas, Kavya Ravichandran, Ronitt Rubinfeld
Testing Tail Weight of a Distribution Via Hazard Rate. ALT (2023)
Maryam Aliakbarpour, Rose Silver, Thomas Steinke, Jonathan R. Ullman
Differentially Private Medians and Interior Points for Non-Pathological Data. CoRR (2023)
Maryam Aliakbarpour, Andrew McGregor, Jelani Nelson, Erik Waingarten
Estimation of Entropy in Constant Space with Improved Sample Complexity. CoRR (2022)
Maryam Aliakbarpour, Andrew McGregor, Jelani Nelson, Erik Waingarten
Estimation of Entropy in Constant Space with Improved Sample Complexity. NeurIPS (2022)
Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
-Divergence. CoRR (2021)
Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. ISIT (2021)
Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. ICDE (2021)
Khashayar Gatmiry, Maryam Aliakbarpour, Stefanie Jegelka
Testing Determinantal Point Processes. CoRR (2020)
Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. CoRR (2020)
Maryam Aliakbarpour, Amartya Shankha Biswas, Kavya Ravichandran, Ronitt Rubinfeld
Testing Tail Weight of a Distribution Via Hazard Rate. CoRR (2020)
Maryam Aliakbarpour, Sandeep Silwal
Testing Properties of Multiple Distributions with Few Samples. ITCS (2020)
Khashayar Gatmiry, Maryam Aliakbarpour, Stefanie Jegelka
Testing Determinantal Point Processes. NeurIPS (2020)
Maryam Aliakbarpour, Ravi Kumar, Ronitt Rubinfeld
Testing Mixtures of Discrete Distributions. CoRR (2019)
Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee
Towards Testing Monotonicity of Distributions Over General Posets. CoRR (2019)
Maryam Aliakbarpour, Ravi Kumar, Ronitt Rubinfeld
Testing Mixtures of Discrete Distributions. COLT (2019)
Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee
Towards Testing Monotonicity of Distributions Over General Posets. COLT (2019)
Maryam Aliakbarpour, Ilias Diakonikolas, Daniel Kane, Ronitt Rubinfeld
Private Testing of Distributions via Sample Permutations. NeurIPS (2019)
Maryam Aliakbarpour, Sandeep Silwal
Testing Properties of Multiple Distributions with Few Samples. CoRR (2019)
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) (2018)
Maryam Aliakbarpour, Ilias Diakonikolas, Ronitt Rubinfeld
Differentially Private Identity and Equivalence Testing of Discrete Distributions. ICML (2018)
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. Proc. VLDB Endow. 10 (11) (2017)
Maryam Aliakbarpour, Ilias Diakonikolas, Ronitt Rubinfeld
Differentially Private Identity and Closeness Testing of Discrete Distributions. CoRR (2017)
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 (2016)
Maryam Aliakbarpour, Eric Blais, Ronitt Rubinfeld
Learning and Testing Junta Distributions. COLT (2016)