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Paper analyzes thermodynamic costs of linear regression

By PulseAugur Editorial · [2 sources] ·

A new paper explores the thermodynamic costs associated with building models from data, focusing on simple linear regression. Researchers approximated the thermodynamic lower bounds for both exact and stochastic gradient descent implementations of linear regression. The study derives energy-cost aware scaling laws for optimal dataset size and discusses methods to estimate entropy production. AI

IMPACT Provides a foundational understanding of the energy costs inherent in basic machine learning algorithms.

RANK_REASON The cluster contains an academic paper detailing a new research finding.

Read on arXiv stat.ML →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Paper analyzes thermodynamic costs of linear regression

COVERAGE [2]

  1. arXiv stat.ML TIER_1 English(EN) · Samuel H. D'Ambrosia, Sultan M. Daniels, Michael R. DeWeese, Anant Sahai ·

    The Thermodynamic Costs of Simple Linear Regression

    arXiv:2605.19195v1 Announce Type: cross Abstract: The construction of models from data is a significant contributor to the energetic costs of computation. Because of this, understanding how foundational thermodynamic bounds apply to modeling algorithms will be increasingly import…

  2. arXiv stat.ML TIER_1 English(EN) · Anant Sahai ·

    The Thermodynamic Costs of Simple Linear Regression

    The construction of models from data is a significant contributor to the energetic costs of computation. Because of this, understanding how foundational thermodynamic bounds apply to modeling algorithms will be increasingly important. Here, we study the thermodynamic costs of a b…

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