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 ...
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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