mailitics

Tag: maximum

  • MGD: Moment Guided Diffusion for Maximum Entropy Generation

    MGD: Moment Guided Diffusion for Maximum Entropy Generation arXiv:2602.17211v1 Announce Type: new Abstract: Generating samples from limited information is a fundamental problem across scientific domains. Classical maximum entropy methods provide principled uncertainty quantification from moment constraints but require sampling via MCMC or Langevin dynamics, which typically exhibit exponential slowdown in high dimensions. In contrast, generative…

  • Maximum-Effiency Coding Setup

    Maximum-Effiency Coding Setup Learn how to be a more efficient programmer The post Maximum-Effiency Coding Setup appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation

    From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation arXiv:2510.07624v1 Announce Type: new Abstract: Generative models form the backbone of modern machine learning, underpinning state-of-the-art systems in text, vision, and multimodal applications. While Maximum Likelihood Estimation has traditionally served as the dominant training paradigm, recent work have highlighted its limitations, particularly in…

  • Maximum diversity, weighting and invariants of time series

    Maximum diversity, weighting and invariants of time series arXiv:2509.11146v1 Announce Type: new Abstract: Magnitude, obtained as a special case of Euler characteristic of enriched category, represents a sense of the size of metric spaces and is related to classical notions such as cardinality, dimension, and volume. While the studies have explained the meaning of magnitude…

  • Strategic A/B testing via Maximum Probability-driven Two-armed Bandit

    Strategic A/B testing via Maximum Probability-driven Two-armed Bandit arXiv:2506.22536v1 Announce Type: new Abstract: Detecting a minor average treatment effect is a major challenge in large-scale applications, where even minimal improvements can have a significant economic impact. Traditional methods, reliant on normal distribution-based or expanded statistics, often fail to identify such minor effects because of their…