AI & Machine Learning · Computer Science & AI
Machine Learning (Statistics)
The newest papers in Machine Learning (Statistics) that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
1,749 papers, from 4 September 2026 to 5 November 2026: 1,749 arXiv preprints.
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Newest papers, page 88
Confounding-Valid Conformal Inference for Counterfactual KPIs in Wireless Networks
Conformal counterfactual inference enables network operators to use logged telemetry to reliably answer 'what-if' questions about network operation.FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph Search
Dynamical symbolic regression methods identify governing differential equations from noisy data, balancing interpretability and predictive accuracy.PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders
Forecasting time series accurately is critical for applications with complex data ranging from energy systems to healthcare and finance.Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar
Late Gadolinium Enhancement (LGE) on cardiac magnetic resonance is a key marker of myocardial scar, but its limited accessibility motivates routine ECG-based screening.Bias-Corrected Subspace Intersection: Minimax-Optimal Shared Subspace Estimation in Multi-View Data
Estimating a low-dimensional subspace shared across noisy data matrices is a fundamental problem in multi-view matrix estimation.Nonparametric Hypothesis Testing of High-dimensional Clustering With Application to Single-cell RNA Data
Single-cell RNA sequencing studies routinely use clustering to define putative cell types and cell states, yet the observed separation may arise from sampling variability rather than genuine…Connecting Score Matching, Maximum Likelihood, and Expectation-Maximization in Mixed Linear Regression
We study variance-preserving diffusion of the response in mixed linear regression (MLR) with unknown mixing weights.Gaussian Linear Functional Manifold Method for Massive Point Cloud Data
Reconstructing continuous terrain manifolds from massive, unstructured airborne LiDAR point clouds remains challenging in complex Wildland-Urban Interface (WUI) environments, where deep neural…A complete characterization of sequential testability and change detectability in i.i.d. models
We give a necessary and sufficient condition for the existence of power-one sequential tests in an i.i.d. composite testing problem.