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In numerical linear algebra, a well-established practice is to choose a norm that exploits the structure of the problem at hand in order to optimize accuracy or computational complexity. In numerical polynomial algebra, a single norm…

Numerical Analysis · Mathematics 2022-11-23 Felipe Cucker , Alperen A. Ergür , Josué Tonelli-Cueto

We study the improper learning of multi-layer neural networks. Suppose that the neural network to be learned has $k$ hidden layers and that the $\ell_1$-norm of the incoming weights of any neuron is bounded by $L$. We present a kernel-based…

Machine Learning · Computer Science 2015-10-14 Yuchen Zhang , Jason D. Lee , Michael I. Jordan

Given an order of the underlying alphabet we can lift it to the states of a finite deterministic automaton: to compare states we use the order of the strings reaching them. When the order on strings is the co-lexicographic one \emph{and}…

Formal Languages and Automata Theory · Computer Science 2022-03-24 Giovanna D'Agostino , Davide Martincigh , Alberto Policriti

The Polynomial Learning With Errors problem (PLWE) serves as the background of two of the three cryptosystems standardized in August 2024 by the National Institute of Standards and Technology to replace non-quantum resistant current…

Cryptography and Security · Computer Science 2025-07-01 Iván Blanco Chacón , Raúl Durán Díaz , Rodrigo Martín Sánchez-Ledesma

Learned reweighting (LRW) approaches to supervised learning use an optimization criterion to assign weights for training instances, in order to maximize performance on a representative validation dataset. We pose and formalize the problem…

Machine Learning · Computer Science 2024-04-01 Nishant Jain , Arun S. Suggala , Pradeep Shenoy

The ring and polynomial learning with errors problems (Ring-LWE and Poly-LWE) have been proposed as hard problems to form the basis for cryptosystems, and various security reductions to hard lattice problems have been presented. So far…

Cryptography and Security · Computer Science 2015-08-11 Yara Elias , Kristin E. Lauter , Ekin Ozman , Katherine E. Stange

The new type of ideal basis introduced herein constitutes a compromise between the Gr\"obner bases based on the Buchberger's algorithm and the characteristic sets based on the Wu's method. It reduces the complexity of the traditional…

Symbolic Computation · Computer Science 2022-02-22 Sheng-Ming Ma

In this paper, we study the solving degrees for affine semi-regular sequences and their homogenized sequences. Some of our results are considered to give mathematically rigorous proofs of the correctness of methods for computing Gr\"{o}bner…

Commutative Algebra · Mathematics 2024-09-24 Momonari Kudo , Kazuhiro Yokoyama

Learning with Errors (LWE) is a hard math problem underlying recently standardized post-quantum cryptography (PQC) systems for key exchange and digital signatures. Prior work proposed new machine learning (ML)-based attacks on LWE problems…

Cryptography and Security · Computer Science 2024-02-05 Samuel Stevens , Emily Wenger , Cathy Li , Niklas Nolte , Eshika Saxena , François Charton , Kristin Lauter

We present a Sage implementation of Ore algebras. The main features for the most common instances include basic arithmetic and actions; gcrd and lclm; D-finite closure properties; natural transformations between related algebras; guessing;…

Symbolic Computation · Computer Science 2013-06-19 Manuel Kauers , Maximilian Jaroschek , Fredrik Johansson

We prove the equivalence between the Ring Learning With Errors (RLWE) and the Polynomial Learning With Errors (PLWE) problems for the maximal totally real subfield of the $2^r 3^s$-th cyclotomic field for $r \geq 3$ and $s \geq 1$.…

Cryptography and Security · Computer Science 2025-02-19 Joonas Ahola , Iván Blanco-Chacón , Wilmar Bolaños , Antti Haavikko , Camilla Hollanti , Rodrigo Martín Sánchez-Ledesma

Characterizing the performance of no-regret dynamics in multi-player games is a foundational problem at the interface of online learning and game theory. Recent results have revealed that when all players adopt specific learning algorithms,…

Computer Science and Game Theory · Computer Science 2023-11-28 Ioannis Anagnostides , Alkis Kalavasis , Tuomas Sandholm , Manolis Zampetakis

This paper is a sequel to "Computing diagonal form and Jacobson normal form of a matrix using Groebner bases", J. of Symb. Computation, 46 (5), 2011. We present a new fraction-free algorithm for the computation of a diagonal form of a…

Rings and Algebras · Mathematics 2017-12-06 Viktor Levandovskyy , Kristina Schindelar

A generalized criterion for signature related algorithms to compute Gr\"obner basis is proposed in this paper. Signature related algorithms are a popular kind of algorithms for computing Gr\"obner basis, including the famous F5 algorithm,…

Symbolic Computation · Computer Science 2011-02-22 Yao Sun , Dingkang Wang

In this paper, we study the complexity of solving generic over-determined bilinear systems over a finite field $\mathbb{F}$. Given a generic bilinear sequence $B \in \mathbb{F}[\mathbf{x},\mathbf{y}]$, with respect to a partition of…

Symbolic Computation · Computer Science 2020-06-18 John B. Baena , Daniel Cabarcas , Javier Verbel

This article discusses a computational treatment of the localization A_L of an affine coordinate ring A at a prime ideal L and its associated graded ring Gr_a(A_L) with the means of standard basis techniques. Building on Mora's work, we…

Commutative Algebra · Mathematics 2016-01-26 Magdaleen S. Marais , Yue Ren

As it follows from G\"odel's incompleteness theorems, any consistent formal system of axioms and rules of inference should imply a true unprovable statement. Actually, this fundamental principle can be efficiently applicable in…

Data Structures and Algorithms · Computer Science 2020-11-25 Roman Galay , Daniil Kalistratov

An algorithm to generate a minimal comprehensive Gr\"obner\, basis of a parametric polynomial system from an arbitrary faithful comprehensive Gr\"obner\, system is presented. A basis of a parametric polynomial ideal is a comprehensive…

Symbolic Computation · Computer Science 2020-03-19 Deepak Kapur , Yiming Yang

In this paper we study a family of binary Legendre sequences and its family complexity. Family complexity is a pseudorandomness measure introduced by Ahlswede et.~al.~in 2003. A lower bound on the family complexity of a family based on the…

Number Theory · Mathematics 2019-09-13 Yaǧmur Çakıroǧlu , Oǧuz Yayla

In his 1981 Fundamental Theorem of Algebra paper Steve Smale initiated the complexity theory of finding a solution of polynomial equations of one complex variable by a variant of Newton's method. In this paper we reconsider his algorithm in…

Numerical Analysis · Mathematics 2015-03-20 Diego Armentano , Michael Shub