Rachael Hwee Ling Sim
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(6)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Core AI
(3)
Learning Types
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Data Science & Analytics
(1)
Security & Privacy
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms
(1)
Privacy
(1)
Keywords
data valuation
(3)
large language model
(2)
shapley value
(2)
collaborative machine learning
(2)
federated learning
(2)
monte carlo estimation
(1)
bayesian optimization
(1)
robust performance
(1)
incentive mechanism
(1)
cumulative regret
(1)
multi-armed bandit
(1)
regret bound
(1)
inverse problem
(1)
black-box function
(1)
scaling law
(1)
training example
(1)
model utility
(1)
training data
(1)
collaborative optimization
(1)
data utility
(1)
Papers
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
Deletion-Anticipative Data Selection with a Limited Budget
ICML 2024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
AAAI 2024
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Probably Approximate Shapley Fairness with Applications in Machine Learning
AAAI 2023
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges
IJCAI 2022
Collaborative Bayesian Optimization with Fair Regret
ICML 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
ICML 2020