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Low-degree polynomials have emerged as a powerful paradigm for providing evidence of statistical-computational gaps across a variety of high-dimensional statistical models [Wein25]. For detection problems -- where the goal is to test a…

Machine Learning · Statistics 2026-01-06 Alexandra Carpentier , Simone Maria Giancola , Christophe Giraud , Nicolas Verzelen

Recently, Gupta et.al. [GKKS2013] proved that over Q any $n^{O(1)}$-variate and $n$-degree polynomial in VP can also be computed by a depth three $\Sigma\Pi\Sigma$ circuit of size $2^{O(\sqrt{n}\log^{3/2}n)}$. Over fixed-size finite fields,…

Computational Complexity · Computer Science 2014-01-03 Suryajith Chillara , Partha Mukhopadhyay

We show that most arithmetic circuit lower bounds and relations between lower bounds naturally fit into the representation-theoretic framework suggested by geometric complexity theory (GCT), including: the partial derivatives technique…

Computational Complexity · Computer Science 2017-09-07 Joshua A. Grochow

We consider the problem of finding a near ground state of a $p$-spin model with Rademacher couplings by means of a low-depth circuit. As a direct extension of the authors' recent work [Gamarnik, Jagannath, Wein 2020], we establish that any…

Computational Complexity · Computer Science 2022-01-25 David Gamarnik , Aukosh Jagannath , Alexander S. Wein

The motivation for this paper is to study the complexity of constant-width arithmetic circuits. Our main results are the following. 1. For every k > 1, we provide an explicit polynomial that can be computed by a linear-sized monotone…

Computational Complexity · Computer Science 2009-08-14 V. Arvind , Pushkar S. Joglekar , Srikanth Srinivasan

We investigate the power of Algebraic Branching Programs (ABPs) augmented with help polynomials, and constant-depth Boolean circuits augmented with help functions. We relate the problem of proving explicit lower bounds in both these models…

Computational Complexity · Computer Science 2009-11-24 Vikraman Arvind , Srikanth Srinivasan

The Strong Exponential Time Hypothesis (SETH) asserts that for every $\varepsilon>0$ there exists $k$ such that $k$-SAT requires time $(2-\varepsilon)^n$. The field of fine-grained complexity has leveraged SETH to prove quite tight…

Computational Complexity · Computer Science 2022-11-30 Tatiana Belova , Alexander Golovnev , Alexander S. Kulikov , Ivan Mihajlin , Denil Sharipov

Sublinear circuits are generalizations of the affine circuits in matroid theory, and they arise as the convex-combinatorial core underlying constrained non-negativity certificates of exponential sums and of polynomials based on the…

Combinatorics · Mathematics 2021-08-31 Helen Naumann , Thorsten Theobald

For every constant $d$, we design a subexponential time deterministic algorithm that takes as input a multivariate polynomial $f$ given as a constant depth algebraic circuit over the field of rational numbers, and outputs all irreducible…

Computational Complexity · Computer Science 2023-09-19 Mrinal Kumar , Varun Ramanathan , Ramprasad Saptharishi

Circuit polynomials are polynomials satisfying a number of conditions that make it easy to compute sharp and certifiable global lower bounds for them. Consequently, one may use them to find certifiable lower bounds for any polynomial by…

Optimization and Control · Mathematics 2019-12-11 Dávid Papp

We present a combination of the Mixed-Echelon-Hermite transformation and the Double-Bounded Reduction for systems of linear mixed arithmetic that preserve satisfiability and can be computed in polynomial time. Together, the two…

Logic in Computer Science · Computer Science 2018-04-23 Martin Bromberger

We prove that a matrix from the split orthogonal group over a polynomial ring with coefficients in a small-dimensional ring can be reduced to a smaller matrix by a bounded number of elementary orthogonal transformations. The bound is given…

Group Theory · Mathematics 2022-07-22 Pavel Gvozdevsky

As part of the graph minor project, Robertson and Seymour showed in 1990 that the class of graphs that can be embedded in a given surface can be characterized by a finite set of minimal excluded minors. However, their proof, because…

Combinatorics · Mathematics 2026-04-06 Sarah Houdaigoui , Ken-ichi Kawarabayashi

We show that any Algebraic Branching Program (ABP) computing the polynomial $\sum_{i = 1}^n x_i^n$ has at least $\Omega(n^2)$ vertices. This improves upon the lower bound of $\Omega(n\log n)$, which follows from the classical result of Baur…

Computational Complexity · Computer Science 2020-03-19 Prerona Chatterjee , Mrinal Kumar , Adrian She , Ben Lee Volk

Let $f$ be a polynomial in $n$ variables $x_1,\dots,x_n$ with real coefficients. In [Ghasemi-Marshal], Ghasemi and Marshall give an algorithm, based on geometric programming, which computes a lower bound for $f$ on $\mathbb{R}^n$. In…

Optimization and Control · Mathematics 2025-10-06 Mehdi Ghasemi , Murray Marshall

In this article, we propose a geometric programming method in order to compute lower bounds for real polynomials. We provide new sufficient conditions for polynomials to be nonnegative as well as to have a sum of binomial squares…

Optimization and Control · Mathematics 2016-02-26 Sadik Iliman , Timo de Wolff

We give several new lower bounds on size of homogeneous non-commutative circuits. We present an explicit homogeneous bivariate polynomial of degree $d$ which requires homogeneous non-commutative circuit of size $\Omega(d/\log d)$. For an…

Computational Complexity · Computer Science 2023-01-05 Prerona Chatterjee , Pavel Hrubeš

An efficient randomized polynomial identity test for noncommutative polynomials given by noncommutative arithmetic circuits remains an open problem. The main bottleneck to applying known techniques is that a noncommutative circuit of size…

Computational Complexity · Computer Science 2016-11-23 Vikraman Arvind , Pushkar Joglekar , Partha Mukhopadhyay , S Raja

Reconstruction of arithmetic circuits has been heavily studied in the past few years and has connections to proving lower bounds and deterministic identity testing. In this paper we present a polynomial time randomized algorithm for…

Data Structures and Algorithms · Computer Science 2018-02-28 Gaurav Sinha

The method of partial derivatives is one of the most successful lower bound methods for arithmetic circuits. It uses as a complexity measure the dimension of the span of the partial derivatives of a polynomial. In this paper, we consider…

Computational Complexity · Computer Science 2017-06-01 Ignacio Garcia-Marco , Pascal Koiran , Timothée Pecatte , Stéphan Thomassé