1 code implementation • 21 Mar 2024 • Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang
This particular test-wise deletion procedure, in which we perform CI tests on the samples without zeros for the conditioned variables, can be seamlessly integrated with existing structure learning approaches including constraint-based and greedy score-based methods, thus giving rise to a principled framework for GRNI in the presence of dropouts.
1 code implementation • 20 Feb 2024 • Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
This discrepancy has motivated the development of federated causal discovery (FCD) approaches.
no code implementations • 2 Oct 2021 • Chenyang Li, Gongxu Luo
Although the multilingual Neural Machine Translation(NMT), which extends Google's multilingual NMT, has ability to perform zero-shot translation and the iterative self-learning algorithm can improve the quality of zero-shot translation, it confronts with two problems: the multilingual NMT model is prone to generate wrong target language when implementing zero-shot translation; the self-learning algorithm, which uses beam search to generate synthetic parallel data, demolishes the diversity of the generated source language and amplifies the impact of the same noise during the iterative learning process.
1 code implementation • 7 May 2021 • Gongxu Luo, JianXin Li, Jianlin Su, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
Based on them, we design MinGE to directly calculate the ideal node embedding dimension for any graph.