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Mathematics & Statistics
New mathematics and statistics is posted on arXiv, often long before it appears in a journal. This page shows the newest papers ReadSearch has read, from algebra and geometry to analysis, probability and applied mathematics.
The newest 1,000 papers, from 13 October 2026 to 5 November 2026: 971 arXiv preprints and 29 OpenAlex records.
Newest papers, page 10
Reducing SNAP Payment Errors at Lower Cost With AI: A Simulation Study
New federal legislation will require states with high payment error rates in the Supplemental Nutrition Assistance Program (SNAP) to pay a share of benefit costs, potentially costing some states…Bagel: A Fast Bayesian Online Changepoint Detection Algorithm for Linear Models via Posterior Merging
Bayesian online changepoint detection provides a natural framework for quantifying uncertainty about whether and when a change has occurred.Poisson Super Learning For Survival And Competing Risks On A Discretized Time Scale
We introduce the Poisson Super Learner, a scalable ensemble method for survival and competing risks prediction with right-censored data.Geometric Phase and Spinor Beam Dynamics of Paraxial Beams
We show that treating a paraxially propagating electric field as a spinor provides a natural way to include geometric phase in beam propagation models.On a Class of Non-Local Elliptic-Transport Systems in Score-Guided Probability Flow on $SE(3)$: Score-Singularity Resolution, Space-Time ADN Shift, and Markov Mean-Field Games
We establish mathematical foundations for optimal spatiotemporal vector fields governing continuous score-guided probability flows over bounded submanifolds $M \subset SE(3)$ on the Special…Calibrated Multiaccuracy: Deterministic and Randomized Sample Complexity
Calibrated multiaccuracy asks that a predictor be globally calibrated and multiaccurate with respect to a bounded test family $G$; that is, its residuals should be uncorrelated with every test…Good rational functions up to degree six
Locally recoverable codes (LRCs) are fundamental to the architecture of modern distributed storage systems.Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model
This paper studies a partially linear semiparametric additive model that allows for interactions among variables in high-dimensional settings.Online Algorithms Cannot Find Isolated Perceptron Solutions
The binary perceptron problem asks for a length-$n$ sign vector in the intersection of $\lfloor αn\rfloor$-many independent random Gaussian half-spaces.Lossless propagation bounds for long-range fermionic interactions
We prove propagation estimates for extensive fermionic many-body interactions with polynomial time growth, no loss of spatial decay, and an optimal threshold for the polynomial spatial exponent.Subpolynomial-Query Proximal Sampling Beyond Log-Concavity
We study the gradient query complexity of sampling from a density $π(x)\propto\mathrm{e}^{-V(x)}$ on $\mathbb{R}^d$, where $V$ has a $β$-Lipschitz gradient but need not be convex.Unrolled gradients in disguise: bridging interpolation-based and Jacobian regularization for stable neural dynamics
Hybrid models and neural differential equations (NDEs) are becoming increasingly important for modelling physical systems; however, they often encounter stability and accuracy issues during…Symbol-based residual certification of reduced and neural surrogates for tempered-fractional CGMY pricing
We certify reduced and neural approximations of European-put price trajectories under the Carr--Geman--Madan--Yor model by residual bounds for the spline Galerkin discretisation of the…A Bayesian Framework for Safe Optimal Control of Unknown Systems from Input-Output Data
As control engineering is applied to increasingly complex systems, learning-based control, which uses empirical data to reduce the reliance on first-principles models, has emerged as a promising…The Optimizer's Windfall: Bounding Hindsight Gain under Random Restrictions
Suppose an optimization problem is randomly restricted, independently on each variable, and re-optimized after the restriction is revealed.Tilted Convexity and an Exact Offline-Online Separation
Convexity has three equivalent descriptions: support by affine functions, monotonicity of the subdifferential, and increasing secant slopes.Delay-Certified Readiness Barriers for Overactuated Multirotor Allocation Without Lipschitz Constants
Overactuated multirotors can produce the same wrench with many rotor-speed combinations, some of which leave the vehicle unable to change its wrench quickly, e.g., to reject a gust.Quantum tomography on Schwartz space
In this work we show that standard results in quantum tomography, which are typically proven in the context of Hilbert spaces, can analogously be established in the theory of Schwartz spaces.ParaDeAl: Parallel Descent Algorithms for Sparse Statistics
Best subset selection is a central problem in statistical regression, drawing increasing attention from the broader optimization and machine learning communities.Nonparametric Intensity Estimation for Covariate-Driven Poisson Processes Using Deep Learning
We consider nonparametric maximum likelihood estimation of the intensity function of a Poisson process, allowing the intensity to depend on observed covariates.
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