Maryam Aliakbarpour
17 papers · 2016–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Keyword Champion (9)
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Keyword Collector
(55)
π₯
Unstoppable Β· Bronze
β
The Questioner
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Century Club Β· Bronze
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Research topics
Machine Learning
(17)
Optimization & Theory
(15)
Mathematics & Optimization
(10)
Mathematics
(9)
Artificial Intelligence
(4)
Security & Privacy
(3)
Differential Privacy
(3)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Learning Paradigms
(2)
Optimization
(2)
Computer Science
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Keywords
sample complexity
(12)
distribution testing
(9)
differential privacy
(4)
hypothesis testing
(4)
learning theory
(2)
independence testing
(2)
discrete distribution
(2)
hypothesis selection
(2)
multi-task learning
(2)
identity testing
(2)
uniform distribution
(2)
property testing
(2)
binary classification
(1)
bayesian framework
(1)
statistical testing
(1)
few-shot learning
(1)
representation learning
(1)
computational complexity
(1)
algorithm complexity
(1)
determinantal point process
(1)
Papers
How fast can you find a good hypothesis?
COLT 2026
Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions
COLT 2026
Better Private Distribution Testing by Leveraging Unverified Auxiliary Data
COLT 2025
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
AISTATS 2025
Privacy in Metalearning and Multitask Learning: Modeling and Separations
AISTATS 2025
Metalearning with Very Few Samples Per Task
COLT 2024
Optimal Algorithms for Augmented Testing of Discrete Distributions
NeurIPS 2024
Optimal Hypothesis Selection in (Almost) Linear Time
NeurIPS 2024
Hypothesis Selection with Memory Constraints
NeurIPS 2023
Testing Tail Weight of a Distribution Via Hazard Rate
ALT 2023
Estimation of Entropy in Constant Space with Improved Sample Complexity
NeurIPS 2022
Testing Determinantal Point Processes
NeurIPS 2020
Private Testing of Distributions via Sample Permutations
NeurIPS 2019
Testing Mixtures of Discrete Distributions
COLT 2019
Towards Testing Monotonicity of Distributions Over General Posets
COLT 2019
Differentially Private Identity and Equivalence Testing of Discrete Distributions
ICML 2018
Learning and Testing Junta Distributions
COLT 2016