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Tag: difference

  • Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide

    Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide Comparing model-free and model-based RL methods on a dynamic grid world The post Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide appeared first on Towards Data Science. Ryan Pégoud Go to original source

  • When A Difference Actually Makes A Difference

    When A Difference Actually Makes A Difference Bite-Sized Analytics for Business Decision-Makers (1) The post When A Difference Actually Makes A Difference appeared first on Towards Data Science. Mena Wang Go to original source

  • Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization

    Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization arXiv:2505.11089v1 Announce Type: new Abstract: In this paper, we consider a score-based Integer Programming (IP) approach for solving the Bayesian Network Structure Learning (BNSL) problem. State-of-the-art BNSL IP formulations suffer from the exponentially large number of variables and constraints. A standard approach in IP…

  • Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees

    Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees arXiv:2502.00240v1 Announce Type: new Abstract: Learning effective regularization is crucial for solving ill-posed inverse problems, which arise in a wide range of scientific and engineering applications. While data-driven methods that parameterize regularizers using deep neural networks have demonstrated strong empirical performance, they often…

  • Spectral Differential Network Analysis for High-Dimensional Time Series

    Spectral Differential Network Analysis for High-Dimensional Time Series arXiv:2412.07905v1 Announce Type: cross Abstract: Spectral networks derived from multivariate time series data arise in many domains, from brain science to Earth science. Often, it is of interest to study how these networks change under different conditions. For instance, to better understand epilepsy, it would be interesting…

  • Semiparametric Bayesian Difference-in-Differences

    Semiparametric Bayesian Difference-in-Differences arXiv:2412.04605v1 Announce Type: cross Abstract: This paper studies semiparametric Bayesian inference for the average treatment effect on the treated (ATT) within the difference-in-differences research design. We propose two new Bayesian methods with frequentist validity. The first one places a standard Gaussian process prior on the conditional mean function of the control group.…