Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
The LDP is intended to provide shareholders with a constant, though not guaranteed, fixed rate of distribution each month. Distributions will be made primarily in cash but under the Fund’s ...
Gold's rally continues, with the metal advancing for a fifth consecutive session, pressing toward the all-time high zone. A broadly weaker US Dollar, with the US Dollar Index (DXY) hovering near a one ...
Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...
Your go-to for B2B Marketing Training and Consulting backed by data science, psychology, and—our secret weapon—real-world experience. Join 350,000+ marketers who rely on MarketingProfs for B2B ...
The Rasmussen Reports daily Presidential Tracking Poll for Friday shows that 49% of Likely U.S. Voters approve of President Trump’s job performance. Fifty (50%) disapprove. The latest figures include ...
The Rasmussen Reports daily Presidential Tracking Poll for Friday shows that 49% of Likely U.S. Voters approve of President Trump’s job performance. Fifty (50%) disapprove. The latest figures include ...
AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation
Abstract: Graph neural networks (GNNs) have shown strong performance on graph-structured data but may inherit bias from training data, leading to discriminatory predictions based on sensitive ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion
Abstract: Continual learning (CL) aims to enable deep neural networks (DNNs) to learn new data without forgetting previously learned knowledge. The key to achieving this goal is to avoid confusion at ...
Institute of Chemistry, University of São Paulo─IQ-USP, Av. Lineu Prestes 748, 05508-000 São Paulo, São Paulo, Brazil Institute of Physics, Brasilia University (UnB), 70.910-900 Brasília, Brazil ...
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