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Found 7 papers, 2 papers with code
A Dynamic Epistemic Framework for Conformant Planning
In this paper, we introduce a lightweight dynamic epistemic logical framework for automated planning under initial uncertainty.
A Semi-supervised Graph Attentive Network for Financial Fraud Detection
Additionally, among the network, only very few of the users are labelled, which also poses a great challenge for only utilizing labeled data to achieve a satisfied performance on fraud detection.
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay
Considering the above challenges and the special scenario in Ant Financial, we try to incorporate default prediction with network information to alleviate the cold-start problem.
Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs
If the uncertainty of an enterprise's revenue forecasting can be estimated, a more proper credit limit can be granted.
Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference
Based on these testing data, a response model is then built to measure the heterogeneous treatment effect of increasing credit limits (i. e. treatments) for different customers, who are depicted by several control variables (i. e. features).
Multi-Tubal Rank of Third Order Tensor and Related Low Rank Tensor Completion Problem
For this model, a tensor factorization based method is applied and the corresponding convergence anlysis is established.
Optimization and Control
Quantum and Translation Embedding for Knowledge Graph Completion
The insight of this work enlightens the notion of dense feature model design for KGC which is a new alternative to Deep Neural networks (DNN) in this task or even a better choice.
