Eli Meirom
7 papers · 2016–2024 · 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
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Core Methods
(4)
Deep Learning
(3)
Architectures
(3)
Core AI
(3)
Methods
(3)
Optimization & Theory
(3)
Learning Types · Machine Learning
(2)
Applications
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
graph neural network
(4)
reinforcement learning
(2)
robust optimization
(1)
convex optimization
(1)
policy gradient
(1)
graph classification
(1)
self-supervised learning
(1)
policy learning
(1)
quantum computing
(1)
graph representation
(1)
message passing
(1)
multiple kernel learning
(1)
weisfeiler-lehman test
(1)
partial observability
(1)
nuclear norm regularization
(1)
nonlinear classification
(1)
influence maximization
(1)
support vector machine
(1)
meta-reinforcement learning
(1)
counterfactual reasoning
(1)
Papers
Efficient Subgraph GNNs by Learning Effective Selection Policies
ICLR 2024
Learning to Initiate and Reason in Event-Driven Cascading Processes
ICML 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
NeurIPS 2023
Optimizing Tensor Network Contraction Using Reinforcement Learning
ICML 2022
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
ICML 2021
From Local Structures to Size Generalization in Graph Neural Networks
ICML 2021
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning
AISTATS 2016