数据驱动的优化方法 报告六 Thompson Sampling in Combinatorial Bandits 24:37 2022微软亚洲研究院理论学术研讨会:数据驱动的优化方法 报告九 Machine Learning for Combinatorial Optimization 36:34 2022微软亚洲研究院理论学术研讨会:数据驱动的优化方法 报告十三 Optimization from Structured Samples 32:34 2022微软亚洲...
Influence Maximization via Graph Neural Bandits Federated Graph Learning with Structure Proxy Alignment An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning Can Modifying Data Address ...
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation LLMs as Zero-shot Graph Learners: Alignment of GNN Represetantions with LLM Token Embeddings Linear Causal Bandits: Unknown Graph and Soft...
The Epoch-Greedy algorithm for multi-armed bandits with side information. In Advances in Neural Information Processing Systems Vol. 20, 817–824 (2008). Usunier, N., Synnaeve, G., Lin, Z. & Chintala, S. Episodic exploration for deep deterministic policies: an application to starcraft micro...
Graph Neural Network Bandits 13 Jul 2022 · Parnian Kassraie, Andreas Krause, Ilija Bogunovic · Edit social preview We consider the bandit optimization problem with the reward function defined over graph-structured data. This problem has important applications in molecule design and drug discovery,...