Probabilistic programming languages (PPLs) have emerged as a transformative tool for expressing complex statistical models and automating inference procedures. By integrating probability theory into ...
Causal analysis of observational studies requires data that comprise a set of covariates, a treatment assignment indicator and the observed outcomes. However, data confidentiality restrictions or the ...
AEA Papers and Proceedings, Vol. 112, PAPERS AND PROCEEDINGS OF THE One Hundred Thirty-Fourth Annual Meeting OF THE AMERICAN ECONOMIC ASSOCIATION (MAY 2022), pp. 466-470 (5 pages) The problem of ...
The analysis of correlated binary data is pivotal in many fields, particularly in clinical research where paired organ measurements (for example, eyes or ears) inherently exhibit dependency.
A new technical paper titled “Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference” was published by researchers at Barcelona Supercomputing Center, Universitat Politecnica de ...
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