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cs.LG2023
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold
Tuc Nguyen-Van, Dung D. Le, The-Anh Ta
In graph representation learning, it is important that the complex geometric structure of the input graph, e.g. hidden relations among nodes, is well captured in embedding space. H…
cs.LG2023★ 2 cited
A Cosine Similarity-based Method for Out-of-Distribution Detection
Nguyen Ngoc-Hieu, Nguyen Hung-Quang, The-Anh Ta +3
The ability to detect OOD data is a crucial aspect of practical machine learning applications. In this work, we show that cosine similarity between the test feature and the typical…
cs.LG2022
Invariant Lipschitz Bandits: A Side Observation Approach
Nam Phuong Tran, Long Tran-Thanh
Symmetry arises in many optimization and decision-making problems, and has attracted considerable attention from the optimization community: By utilizing the existence of such symm…