Automated hyperparameter tuning aspires to facilitate the application of machine learning for non-experts. In the literature, different optimization approaches are applied for that purpose. This paper investigates the performance of Differential Evolution for tuning hyperparameters of supervised learning algorithms for…
arXiv research
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Study evolutes of curves with varying smoothness.
Algorithm improves vanilla option pricing accuracy during and before COVID-19.
Solvable structures are exploited in order to find families of explicit solutions to evolution PDEs admitting suitable differential constraints. The effectiveness of the method is verified on several explicit examples.
The paper explores quaternionic curves using differential geometry.
Differentiable NAS frameworks grow networks wider and deeper, revealing biases in wiring evolution.
Global calculus for manifolds with boundary, solving evolution problems.
Study on focal surfaces and evolutes of framed curves in hyperbolic 3-space using Legendrian duality.
Using the result by D.Gessler (Differential Geom. Appl. 7 (1997) 303-324, DIPS-9/98, http://diffiety.ac.ru/preprint/98/09_98abs.htm), we show that any invariant variational bivector (resp., variational 2-form) on an evolution equation with nondegenerate right-hand side is Hamiltonian (resp., symplectic).
Backlund transformations are used to search for solutions, particularly soliton solutions, of non-linear differential equations. In this paper we present an invariant geometrical theory of Backlund transformations for second order evolution equations with one space variable. The main concept is that of connection defin…
We solve the differentiability problem for the evolution map in Milnor's infinite dimensional setting. We first show that the evolution map of each -semiregular Lie group (for ) admits a particular kind of sequentially continuity called Mackey k-continuity. We …
The paper classifies different types of cusps on plane curves.
Study torsion parallel spinors on Lorentzian 4-manifolds and their evolution flows.
We elaborate on the recent observation that evolution for twist knots simplifies when described in terms of triangular evolution matrix , not just its eigenvalues , and provide a universal formula for , applicable to arbitrary rectangular representation . This expression is in terms of s…
A fundamental question in Riemannian geometry is to find canonical metrics on a given smooth manifold. In the 1980s, R. Hamilton proposed an approach to this question based on parabolic partial differential equations. The goal is to start from a given initial metric and deform it to a canonical metric by means of an ev…
Modern treatment of space curve evolutes and involutes.
A variational proof is provided of the existence and uniqueness of evolutions of regular Lagrangian systems.
This paper gives two methods for constructing associative 3-folds in R^7, based around the fundamental idea of evolution equations, and uses these methods to construct examples of these geometric objects. The paper is a generalisation of the work by Joyce in math.DG/0008021, math.DG/0008155, math.DG/0010036 and math.DG…
Develops finite-gap solutions for Pohlmeyer--Lund--Regge equation and Lund--Regge curve evolution.
We present a framework for recovering/approximating unknown time-dependent partial differential equation (PDE) using its solution data. Instead of identifying the terms in the underlying PDE, we seek to approximate the evolution operator of the underlying PDE numerically. The evolution operator of the PDE, defined in i…
We study the evolution of convex complete non-compact graphs by positive powers of Gauss curvature. We show that if the initial complete graph has a local uniform convexity, then the graph evolves by any positive power of Gauss curvature for all time. In particular, the initial graph is not necessarily differentiable.
We perform a classification of the Lie point symmetries for the Black--Scholes--Merton Model for European options with stochastic volatility, , in which the last is defined by a stochastic differential equation with an Orstein--Uhlenbeck term. In this model, the value of the option is given by a linear (1 + 2) evolu…
Defect of knot polynomials remains invariant under certain braid substitutions.
Lectures on surface evolution through singularities.
We prove that the Kupershmidt deformation of a bi-Hamiltonian system is itself bi-Hamiltonian. Moreover, Magri hierarchies of the initial system give rise to Magri hierarchies of Kupershmidt deformations as well. Since Kupershmidt deformations are not written in evolution form, we start with an outline a geometric fram…
This paper describes the evolution of aspects of differential and algebraic gometry from the mid 17th century till the end of the 18th century.
The paper proposes a method to learn evolving multivariate distributions from sample paths.
Let be an -dimensional compact Riemannian manifold () whose metric evolves by the generalized abstract geometric flow. This paper discusses the evolution, monotonicity and differentiability for the first eigenvalue of the -Laplacian on with respect to time evolution. We prove that t…
DISCO predicts system states from short trajectories using an evolved operator.
In this paper, we model Density Evolution (DE) using Recurrent Neural Networks (RNNs) with the aim of designing capacity-approaching Irregular Low-Density Parity-Check (LDPC) codes for binary erasure channels. In particular, we present a method for determining the coefficients of the degree distributions, characterizin…
Algorithm learns which weights to share in deep multi-task learning.
In this work we show that Evolution Strategies (ES) are a viable method for learning non-differentiable parameters of large supervised models. ES are black-box optimization algorithms that estimate distributions of model parameters; however they have only been used for relatively small problems so far. We show that it …
The aim of this paper is to construct a natural Riemann-Lagrange differential geometry on 1-jet spaces, in the sense of nonlinear connections, generalized Cartan connections, d-torsions, d-curvatures, jet electromagnetic fields and jet Yang-Mills energies, starting from some given non-linear evolution DEs systems model…
This study examines geometric properties and offsets of slant timelike-ruled surfaces.
Proposes EDESH-SA for better inventory management under uncertainty.
A new method evolves point clouds using B-splines for smooth surfaces.
Paper proposes a black-box technique to generate adversarial samples.
In this note under a crucial technical assumption we derive a differential equality of the Yamabe constant where is a solution of the Ricci flow on a closed manifold.
Following the suggestion of arXiv:1407.6319 to lift the knot polynomials for virtual knots and links from Jones to HOMFLY, we apply the evolution method to calculate them for an infinite series of twist-like virtual knots and antiparallel 2-strand links. Within this family one can check topological invariance and under…
In this paper, we derive a general evolution formula for possible Harnack quantities. As a consequence, we prove several differential Harnack inequalities for positive solutions of backward heat-type equations with potentials (including the conjugate heat equation) under the Ricci flow. We shall also derive Perelman's …
The class of differential equations describing pseudo-spherical surfaces, first introduced by Chern and Tenenblat [3], is characterized by the property that to each solution of a differential equation, within the class, there corresponds a 2-dimensional Riemannian metric of curvature equal to . The class of differe…
Clarifies when solutions to stochastic PDEs stay near given subsets.
-coloured knot polynomials for -strand torus knots are described by the Rosso-Jones formula, which is an example of evolution in with Lyapunov exponents, labelled by Young diagrams from . This means that they satisfy a finite-difference equation (recursion) of finite degree. For…
Kelly's Criterion is well known among gamblers and investors as a method for maximizing the returns one would expect to observe over long periods of betting or investing. These ideas are conspicuously absent from portfolio optimization problems in the financial and automation literature. This paper will show how Kelly'…
Study nondifferentiable metrics in general relativity, resolving causality issues and limits evolution scenarios.
Gradients help find global optima in complex functions.
We recently showed that the S&P500 stock market index is well described by Tsallis non-extensive statistics and nonlinear Fokker-Planck time evolution. We argued that these results should be applicable to a broad range of markets and exchanges where anomalous diffusion and `heavy' tails of the distribution are present.…
CMS formulation solves Poincare conjecture for all dimensions.