Eli Chien
15 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Grand Slam
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Triple Crown
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(78)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Application Areas
(9)
Deep Learning
(7)
Artificial Intelligence
(6)
Learning Types
(6)
Architectures
(5)
Core AI
(5)
Optimization & Theory
(5)
Security & Privacy
(4)
Core Methods
(4)
Mathematics & Optimization
(3)
Differential Privacy
(2)
Mathematics
(2)
Privacy
(2)
Computer Science
(1)
Keywords
node classification
(5)
machine unlearning
(4)
differential privacy
(4)
graph neural network
(4)
approximate unlearning
(2)
generalized pagerank
(2)
noisy stochastic gradient descent
(2)
langevin dynamics
(1)
active learning
(1)
model compression
(1)
probabilistic modeling
(1)
binary classification
(1)
convex optimization
(1)
feature selection
(1)
non-convex optimization
(1)
link prediction
(1)
stochastic optimization
(1)
data augmentation
(1)
multi-label classification
(1)
self-supervised learning
(1)
Papers
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
ICLR 2025
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
ICLR 2025
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
ICML 2025
Certified Machine Unlearning via Noisy Stochastic Gradient Descent
NeurIPS 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
NeurIPS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
NeurIPS 2024
Machine Unlearning of Pre-trained Large Language Models
ACL 2024
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
NeurIPS 2023
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
ICLR 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
ICML 2023
Representer Point Selection for Explaining Regularized High-dimensional Models
ICML 2023
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
ICLR 2022
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
ICLR 2022
Adaptive Universal Generalized PageRank Graph Neural Network
ICLR 2021
Active Learning in the Geometric Block Model
AAAI 2020