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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: 968 arXiv preprints and 32 OpenAlex records.
Newest papers, page 49
Tracking a Small Set of Experts in Online Convex Optimization
For the fundamental problem of prediction from expert advice, Freund asked whether one could compete with a comparator that switches $k$ times among only $m$ experts.Testing Conditional Distribution Equality Using Generative Models
Conditional distribution equality testing is a core problem with applications in causal inference, model diagnostics, and transfer learning.Claw-Free and Line Graph Edge Deletion on Block Graphs
Edge deletion problems ask for the fewest edges whose deletion gives a graph with a specified property.The Physics Is the Network: Fast, Training-Free Neural Emulation
Neural emulation need not require learning a substitute for known physics.A polylogarithmic bound for list replicability
Zhang [Zha26] recently posted a manuscript announcing that the list-replicability number of every class of $M\ge 2$ binary concepts on $N\ge 2$ domain points is $O(\log^2 M\log N)$, which would be…Eccentricity Shortest Path: the structural parameter landscape
The Eccentricity Shortest Path problem asks, given a connected graph and a nonnegative integer $R$, whether some shortest path is within distance $R$ of every vertex.The Lovász number is not alone: a continuum of Rényi points in the entanglement-assisted spectrum of graphs
Li and Zuiddam's entanglement-assisted asymptotic spectrum of graphs consists of the normalized graph parameters that are additive under disjoint unions, multiplicative under strong products and…Infinite magic and the emergence of the continuum
Which features of a quantum state are needed for a relativistic quantum field theory to emerge from a lattice system?Linear Independence of Polynomial Compositions with Bounded Input Degree
We prove the weak composition-independence conjectures of Kohn, Marchetti, Massarenti and Mella.Perfect and peak state transfer on IBM quantum hardware
We run continuous-time quantum walks with perfect and peak state transfer on a present-day superconducting quantum processor, IBM Quantum's $156$-qubit Heron device ibm_kingston, deliberately…Clinically Interpretable Biological Age Estimation Using CatBoost and SHAP with Continuous and Categorical Features from NHANES
Biological age (BA) captures inter-individual variation in physiological aging beyond chronological age (CA).A Mixture-of-Experts Framework for Multi-Stream Quickest Change Detection
A Mixture-of-Experts (MoE) framework is proposed for quickest change detection (QCD) where there are multiple experts, and each expert produces a sequence of statistics for change detection.Learning Warm Starts for the Simplex Method from Measured Solver Cost
Learned warm starts for the simplex method build starting bases using predictions of which variables will be basic at optimality.Flexible Doubly Robust Proximal Causal Inference for Censored Outcomes
Estimating causal effects on right-censored time-to-event outcomes is challenging under unmeasured confounding.Stochastic Gradient Descent: A Nonlinear Time Series Perspective
This paper investigates the statistical behavior of Stochastic Gradient Descent (SGD) with constant step size under the framework of iterated random functions.$q_x$-Bass Martingales: Optimality, Existence and Convergence
We introduce the class of $q_x$-Bass martingales, extending the notion of $q$-Bass martingales.Planning to Learn: Real-Time Robust Adaptive Control on the GPU with Guaranteed Future Learning
Robust adaptive control is vital for keeping robots safe while actively reducing uncertainty in unfamiliar settings.Two-Stage Score Estimation for Group-Specific Diffusion Models
Generative modeling across related distributions raises a question: how can shared structure support accurate generation for a target distribution with limited observations?Acceleration and its Limits in Gaussian Variational Inference
We study whether the classical momentum-based acceleration that improves the condition-number dependence of gradient descent from $κ$ to $\sqrtκ$ for strongly convex, smooth objectives extends to…On the Last-Iterate Convergence of Clipped Gradient Methods
In stochastic (strongly) convex optimization, establishing last-iterate convergence guarantees for first-order methods has recently garnered increasing attention, as this not only deepens the…
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