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

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

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

This event is closed to the public. What happens when you bring causal inference, machine learning, and AI together with political science and media studies in a single classroom? This talk shares ...

Despite the medical advances of the modern age, more than 300 million people around the world still suffer from diseases for which there are no cures. Many cancers remain a death sentence. Alzheimer’s ...

Cassie Chou is a second-year ScM student in the Department of Biostatistics and currently leads the Department's Statistics in the Community (STATCOM) chapter, which provides pro bono statistical ...

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...

Comparison of raw correlations (dashed) and causal effects (solid) of wind on UK day-ahead prices. Lines show the price change (GBP/MWh) from +1 GWh of predicted wind for the delivery hour across ...

Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...