Tag: collection
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Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget
Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget arXiv:2602.17894v1 Announce Type: new Abstract: Data collection is a critical component of modern statistical and machine learning pipelines, particularly when data must be gathered from multiple heterogeneous sources to study a target population of interest. In many use cases, such as medical…
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Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics
Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics Metric collection is an essential part of every machine learning project, enabling us to track model performance and monitor training progress. Ideally, Metrics should be collected and computed without introducing any additional overhead to the training process. However, just like other components of the…