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๐Ÿ” association learning ๐Ÿ“‚ Mathematics
Showing 13045 results for "association learning" in Mathematics
Mathematics Preprint PDF DOI

Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations

Armin Gie{ss}ler, Felix Thommes, Soren Hohmann ยท 2026

This paper studies data-driven approaches to the continuous-time linear quadratic regulator (LQR) problem based on two existing parameterizations, namely a closed-loop (CL) parameterization from behavโ€ฆ

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Mathematics Preprint PDF DOI

A Systematic Review of Recent Advancements in PINN Augmented Deep Learning and Mathematical Modeling for Efficient Portfolio Management

Bahadur Yadav, Sanjay Kumar Mohanty ยท 2026

In finance, portfolio management is a traditional yet difficult problem that has drawn attention from practitioners and researchers for many years. However, there are still difficult technological proโ€ฆ

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Mathematics Preprint PDF DOI

Holomorphic Jet Modules and Holomorphic Connections for Noncommutative Complex Curves

Indranil Biswas, Satyajit Guin, Pradip Kumar ยท 2026

We extend Atiyah's holomorphic jet bundle formalism to holomorphic vector bundles over noncommutative algebras endowed with a bigraded differential calculus truncated at bidegree $(1,1)$; we refer to โ€ฆ

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Mathematics Preprint PDF DOI

The Bernstein-von Mises theorem for Bayesian one-pass online learning

Jeyong Lee, Junhyeok Choi, Dongguen Kim, Minwoo Chae ยท 2026

Bayesian online learning provides a coherent framework for sequential inference. However, its theoretical understanding remains limited, particularly in the one-pass setting. Existing theoretical guarโ€ฆ

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Mathematics Preprint PDF DOI

Mean-Field Systems with Heterogeneous Subteams: Optimality of Cluster-Symmetric Independent Policies and Equivalence with Decentralized McKean-Vlasov Control of Cluster-Representative Agents

Connor S. Braun, Sina Sanjari, Naci Saldi, Gunnar Blohm, Serdar Yuksel ยท 2026

Across science and engineering, mean-field methods have been a powerful and versatile approach for the analysis of systems of many interacting elements. However, common arguments used to characterize โ€ฆ

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Mathematics Preprint PDF DOI

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms

Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou ยท 2026

This paper is a continuation work of Ren et al. (2026) aiming to further devise q-learning algorithms for mean-field control (MFC) with controlled common noise. Based on the relaxed control formulatioโ€ฆ

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Mathematics Preprint PDF DOI

Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations

Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou ยท 2026

This paper investigates the continuous-time counterpart of the Q-function for entropy-regularized mean-field control (MFC) with controlled common noise, coined as q-function by Jia and Zhou (2023) in โ€ฆ

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Mathematics Preprint PDF DOI

Characterizations of amorphic association schemes in terms of fusing triples

Yanzhen Xiong ยท 2026

Let $\mathcal{R}$ be an association scheme with nontrivial relations $A_1,\ldots,A_d$. We call $\mathcal{R}$ amorphic if every possible fusion of its nontrivial relations gives rise to a fusion schemeโ€ฆ

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Mathematics Preprint PDF DOI

Man, Machine, and Mathematics

Akshunna S. Dogra ยท 2026

Nonlinear models and optimization methods have successfully tackled a rapidly growing set of problems in recent years. Indeed, a relatively small toolbox of such models and methods can provide sufficiโ€ฆ

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Mathematics Preprint PDF DOI

Learning Over-Relaxation Policies for ADMM with Convergence Guarantees

Junan Lin, Paul J. Goulart, Luca Furieri ยท 2026

The Alternating Direction Method of Multipliers (ADMM) is a widely used method for structured convex optimization, and its practical performance depends strongly on the choice of penalty and relaxatioโ€ฆ

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Mathematics Preprint PDF DOI

Induced Stackelberg Equilibrium Seeking via Iterative Tikhonov Regularization

Silvia Cianchi, Anibal Sanjab, Sergio Grammatico ยท 2026

Existing methods for learning Stackelberg equilibria typically assume that the followers' (variational, generalized) Nash equilibrium is unique. However, in the presence of multiple equilibria, withouโ€ฆ

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Mathematics Preprint PDF DOI

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods

Masoud Ahookhosh, Jose M.M. de Brito, Alireza Kabgani, Felipe Lara, Jinyun Yuan ยท 2026

We study the optimization of (strongly) quasar-convex functions, a class that arises naturally in many machine learning and data science applications due to its favorable properties. The fundamental pโ€ฆ

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Mathematics Preprint PDF DOI

Reinforcement Learning for Public Safety Power Shutoffs Under Decision-Dependent Uncertainty and Nonlinear Wildfire Ignition Models

Prasanna Raut, Chaoyue Zhao, Alexandre Moreira ยท 2026

Power grid infrastructure is an increasingly significant source of wildfire ignitions and poses severe risks to communities in fire-prone regions. Public Safety Power Shutoffs (PSPS) have emerged as aโ€ฆ

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Mathematics Preprint PDF DOI

On simple transposed Poisson algebras

Amir Fernandez Ouaridi ยท 2026

We develop a structure theory for transposed Poisson algebras over fields of characteristic different from two. In particular, we prove that every finite-dimensional transposed Poisson algebra over anโ€ฆ

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Mathematics Preprint PDF DOI

Enumerating Multi-Operator Monomials in Commutative and Noncommutative Settings

Yu Hin Au, Murray R. Bremner ยท 2026

We study enumeration problems for multi-operator monomials generated from one indeterminate by an associative multiplication together with finitely many unary operators. We consider four regimes, accoโ€ฆ

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Mathematics Preprint PDF DOI

C-PINN: A neural network framework based on the Cord\`{e}s condition for solving linear and fully nonlinear equations in non-divergence form and its applications

Bingcheng Hu, Lixiang Jin, Zhaoxiang Li ยท 2026

In this paper, we propose a novel Physics-Informed Neural Network (PINN) framework based on the Cord\`{e}s condition for solving both linear and fully nonlinear partial differential equations (PDEs) iโ€ฆ

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Mathematics Preprint PDF DOI

Nilpotency and Frattini theory for transposed Poisson algebras

Jiarou Jia, Yanyong Hong ยท 2026

We develop the theory of nilpotency and the Frattini theory for transposed Poisson algebras. The lower central series is shown to admit a simplified form, and an analogue of Engel's theorem is establiโ€ฆ

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Mathematics Preprint PDF DOI

Dictionary learning for Kernel EDMD

Erik Lien Bolager, Boumediene Hamzi, Houman Owhadi, Ioannis G. Kevrekidis, Felix Dietrich ยท 2026

Studying nonlinear dynamical systems through their state space behavior can be challenging, and one possible alternative is to analyze them via their associated Koopman operator. This turns the nonlinโ€ฆ

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Mathematics Preprint PDF DOI

Fractional clique decompositions of dense balanced multipartite graphs

Tao Feng, Hengrui Liu, Shikang Yu ยท 2026

This paper concerns fractional $K_s$-decompositions of multipartite graphs. For integers $r\ge s\ge 3$, we consider balanced $r$-partite graphs $G$ on $rn$ vertices. We establish necessary conditions โ€ฆ

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Mathematics Preprint PDF DOI

The category of Whittaker modules over the Cartan Type Lie algebra $\bar{S}_2$

Xiaoyao Zheng, Yufang Zhao, Genqiang Liu ยท 2026

Let $\bar{S}_2$ be the Lie algebra of polynomial vector fields on $A_2=\mathbb{C}[t_1,t_2]$ with constant divergence.In this paper, we first show that each block $\Omega^{\widetilde{S}_2}_{\mathbf{a}}โ€ฆ

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