Nataliya Sokolovska
7 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
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Hot Topic Early Bird
Venues
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Research topics
Keywords
preference learning
(3)
interpretable model
(2)
multicriteria decision making
(2)
sparse representation
(1)
sequential decision making
(1)
supervised learning
(1)
interpretable machine learning
(1)
kernel learning
(1)
empirical risk minimization
(1)
cascade classifier
(1)
partially observable markov decision process
(1)
multiple kernel learning
(1)
strong convexity
(1)
preference elicitation
(1)
penalty functions
(1)
cost-sensitive learning
(1)
preference modeling
(1)
proximal operator
(1)
alternating direction method of multiplier
(1)
utility function
(1)
Papers
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making
AAAI 2024
Online Learning of Capacity-Based Preference Models
IJCAI 2024
Learning Preference Models with Sparse Interactions of Criteria
IJCAI 2023
Learning sparse representations of preferences within Choquet expected utility theory
UAI 2022
Learning Interpretable Models using Soft Integrity Constraints
ACML 2020
Interpretable Cascade Classifiers with Abstention
AISTATS 2019
A Provable Algorithm for Learning Interpretable Scoring Systems
AISTATS 2018