LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...

Huskies in Michigan Tech's statistics bachelor's degree program don't just participate in impactful research, they take the ...

Overview AI and big data posted the sharpest jump on WEF's 2025 skills ranking, up 17 percentage points in two years, while ...

School of Geography, Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, U.K. Department of Economics, University of Birmingham ...

ABSTRACT: Against the backdrop of the “dual carbon” strategy, promoting the green transformation of rural energy consumption structures is a critical issue for achieving sustainable rural development.

Perfluorooctanesulfonic acid (PFOS) is a persistent environmental pollutant with suspected carcinogenic potential; however, the molecular mechanisms driving PFOS-associated non-small cell lung cancer ...

causeinfer is a Python package for estimating average and conditional average treatment effects using machine learning. The goal is to compile causal inference models both standard and advanced, as ...

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...

Many companies are rushing to incorporate AI into their business models without being able to accurately gauge its benefits. Applying the principles of causal inference takes away the guesswork. The ...