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On a finite outcome space, the canonical Gibbs distribution is usually obtained by maximizing Shannon entropy at fixed mean of an externally supplied energy functional. This paper studies the finite-state consequences of a ratio-cost…

统计力学 · 物理学 2026-05-18 Megan Simons , Jonathan Washburn

Motivated by statistical practice, category theory terminology is used to introduce Borel data structures and study exchangeability in an abstract framework. A generalization of de Finetti's theorem is shown and natural transformations are…

概率论 · 数学 2022-08-24 Julian Gerstenberg

This paper systematically studies the subset of continuous linear functionals on the projective tensor product of Banach spaces whose norms are bounded by Grothendieck's constant $K_G$. We term such functionals Grothendieck functional…

泛函分析 · 数学 2026-02-10 Haoran He , Qichen He

In this paper, by refining approximation theorems for holomorphic sections of adjoint line bundles, it is proved that the regular locus of a weakly pseudoconvex complex space admitting a positive line bundle can be holomorphically embedded…

复变函数 · 数学 2025-12-30 Yuta Watanabe

We study induced modules of nonzero central charge with arbitrary multiplicities over affine Lie algebras. For a given pseudo parabolic subalgebra ${\mathcal P}$ of an affine Lie algebra ${\mathfrak G}$, our main result establishes the…

表示论 · 数学 2009-03-04 Vyacheslav Futorny , Iryna Kashuba

We develop an approach to choice principles and their contrapositive bar-induction principles as extensionality schemes connecting an ''intensional'' or ''effective'' view of respectively ill-and well-foundedness properties to an…

计算机科学中的逻辑 · 计算机科学 2026-01-26 Nuria Brede , Hugo Herbelin

Inference is a main task in structured prediction and it is naturally modeled with a graph. In the context of Markov random fields, noisy observations corresponding to nodes and edges are usually involved, and the goal of exact inference is…

机器学习 · 统计学 2022-09-12 Hanbyul Lee , Kevin Bello , Jean Honorio

We develop a synthesis of orthomodular logic (projections as propositions) with operator fixed-point theory in Hilbert spaces. First, we introduce an anchored implication connective $A \Rightarrow^{\mathrm{comm}}_{P} B$, defined…

泛函分析 · 数学 2025-08-13 Faruk Alpay , Bugra Kilictas , Taylan Alpay

In order to better understand how AdS holography works for sub-regions, we formulate a holographic version of the Reeh-Schlieder theorem for the simple case of an AdS Klein-Gordon field. This theorem asserts that the set of states…

高能物理 - 理论 · 物理学 2016-03-22 Ian A. Morrison

We introduce a new method for expanding an abelian category and study it using recollements. In particular, we give a criterion for the existence of cotilting objects. We show, using techniques from noncommutative algebraic geometry, that…

表示论 · 数学 2015-05-11 Boris Lerner , Steffen Oppermann

Starting with Gilmer et al. (2018), several works have demonstrated the inevitability of adversarial examples based on different assumptions about the underlying input probability space. It remains unclear, however, whether these results…

机器学习 · 计算机科学 2020-03-03 Xiao Zhang , Jinghui Chen , Quanquan Gu , David Evans

Boosting as gradient descent algorithms is one popular method in machine learning. In this paper a novel Boosting-type algorithm is proposed based on restricted gradient descent with structural sparsity control whose underlying dynamics are…

机器学习 · 统计学 2017-04-18 Chendi Huang , Xinwei Sun , Jiechao Xiong , Yuan Yao

Under covariate shift, training (source) data and testing (target) data differ in input space distribution, but share the same conditional label distribution. This poses a challenging machine learning task. Robust Bias-Aware (RBA)…

机器学习 · 计算机科学 2018-01-01 Anqi Liu , Rizal Fathony , Brian D. Ziebart

Given a robust model trained to be resilient to one or multiple types of distribution shifts (e.g., natural image corruptions), how is that "robustness" encoded in the model weights, and how easily can it be disentangled and/or "zero-shot"…

机器学习 · 计算机科学 2023-02-27 Ruisi Cai , Zhenyu Zhang , Zhangyang Wang

Structured latent variables allow incorporating meaningful prior knowledge into deep learning models. However, learning with such variables remains challenging because of their discrete nature. Nowadays, the standard learning approach is to…

机器学习 · 计算机科学 2021-10-29 Kirill Struminsky , Artyom Gadetsky , Denis Rakitin , Danil Karpushkin , Dmitry Vetrov

In materials science, the challenge of rapid prototyping materials with desired properties often involves extensive experimentation to find suitable microstructures. Additionally, finding microstructures for given properties is typically an…

机器学习 · 计算机科学 2024-05-22 Sébastien Bompas , Stefan Sandfeld

The 1987 Bourgain-Tzafriri Restricted Invertibility Theorem is one of the most celebrated theorems in analysis. At the time of their work, the authors raised the question of a possible infinite dimensional version of the theorem. In this…

泛函分析 · 数学 2009-05-06 Peter G. Casazza , Goetz E. Pfander

In this paper, we generalise the construction of the functorial pullback of refined unramified cohomology between smooth schemes, by following the ideas of Fulton's intersection theory and Rost's cycle modules. We also define standard…

代数几何 · 数学 2025-01-08 Kees Kok , Lin Zhou

We extend the recent classification of Hilbert schemes with two Borel-fixed points to arbitrary characteristic. We accomplish this by synthesizing Reeves' algorithm for generating strongly stable ideals with the basic properties of…

代数几何 · 数学 2021-08-03 Andrew P. Staal

We study a natural measurable selection problem for which the standard uniformisation theorems do not seem to apply directly, yet a Borel selector exists. More precisely, we consider families of finite dimensional functions that admit…

逻辑 · 数学 2026-03-23 Eugenio Clerico