Maryam Aliakbarpour
15 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (9)
πΊοΈ
Taxonomy Completionist
(18)
π
Conference Polyglot
(5)
π
Academic Marathon
(9)
π§¬
Topic Evolution
π
Keyword Champion
(7)
π
Century Club
(15)
Conferences
NIPS (6)
COLT (5)
AISTATS (2)
ALT (1)
ICML (1)
Top co-authors
Research topics
Keywords
sample complexity
(10)
distribution testing
(7)
hypothesis testing
(4)
learning theory
(2)
discrete distribution
(2)
uniform distribution
(2)
differential privacy
(2)
identity testing
(2)
property testing
(2)
determinantal point process
(1)
algorithm complexity
(1)
streaming algorithm
(1)
equivalence testing
(1)
partial order
(1)
statistical test
(1)
hazard rate
(1)
total variation distance
(1)
memory constraint
(1)
hypothesis selection
(1)
closeness testing
(1)
Papers
Privacy in Metalearning and Multitask Learning: Modeling and Separations
AISTATS 2025
Better Private Distribution Testing by Leveraging Unverified Auxiliary Data
COLT 2025
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
AISTATS 2025
Optimal Hypothesis Selection in (Almost) Linear Time
NIPS 2024
Metalearning with Very Few Samples Per Task
COLT 2024
Optimal Algorithms for Augmented Testing of Discrete Distributions
NIPS 2024
Hypothesis Selection with Memory Constraints
NIPS 2023
Testing Tail Weight of a Distribution Via Hazard Rate
ALT 2023
Estimation of Entropy in Constant Space with Improved Sample Complexity
NIPS 2022
Testing Determinantal Point Processes
NIPS 2020
Private Testing of Distributions via Sample Permutations
NIPS 2019
Towards Testing Monotonicity of Distributions Over General Posets
COLT 2019
Testing Mixtures of Discrete Distributions
COLT 2019
Differentially Private Identity and Equivalence Testing of Discrete Distributions
ICML 2018
Learning and Testing Junta Distributions
COLT 2016