NQE uses quantile regression for fast SBI with cubic Hermite splines.
arXiv research
A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
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New conic quadratic formulations improve outlier detection in regression models.
A new method identifies causal direction using dense functional classes.
In this paper, we propose a random projection approach to estimate variance in kernel ridge regression. Our approach leads to a consistent estimator of the true variance, while being computationally more efficient. Our variance estimator is optimal for a large family of kernels, including cubic splines and Gaussian ker…
Cubic predicts stock market indices by fusing stock latent embeddings and converting to binary classification.
Gradient descent dynamics in quadratic regression models are analyzed, revealing five phases: monotonic, catapult, periodic, chaotic, and divergent.
New method improves simulation efficiency in high dimensions.
The article presents a new non-parametric approach for forecasting mortality and fertility using Gaussian process regression.
In this paper, we propose a general framework for sparse and low-rank tensor estimation from cubic sketchings. A two-stage non-convex implementation is developed based on sparse tensor decomposition and thresholded gradient descent, which ensures exact recovery in the noiseless case and stable recovery in the noisy cas…
Bayesian optimization (BO) is a model-based approach for gradient-free black-box function optimization. Typically, BO is powered by a Gaussian process (GP), whose algorithmic complexity is cubic in the number of evaluations. Hence, GP-based BO cannot leverage large amounts of past or related function evaluations, for e…
{\em Riemannian cubics} are curves in a manifold that satisfy a variational condition appropriate for interpolation problems. When is the rotation group SO(3), Riemannian cubics are track-summands of {\em Riemannian cubic splines}, used for motion planning of rigid bodies. Partial integrability results are know…
This thesis tackles Gaussian Process challenges in low dimensions.
Sub-Riemannian cubics are a generalisation of Riemannian cubics to a sub-Riemannian manifold. Cubics are curves which minimise the integral of the norm squared of the covariant acceleration. Sub-Riemannian cubics are cubics which are restricted to move in a horizontal subspace of the tangent space. When the sub-Riemann…
Gradient descent training of neural networks leads to solutions close to natural cubic splines.
New insights into how large learning rates affect transformer training dynamics.
The cubic lattice stick index of a knot type is the least number of sticks necessary to construct the knot type in the 3-dimensional cubic lattice. We present the cubic lattice stick index of various knots and links, including all (p,p+1)-torus knots, and show how composing and taking satellites can be used to obtain t…
This paper refines homotopy theory for cubical sets and uniform spaces.
According to our previous results, the conjugacy class of the involution induced by the complex conjugation in the homology of a real non-singular cubic fourfold determines the fourfold up to projective equivalence and deformation. Here, we show how to eliminate the projective equivalence and to obtain a pure deformati…
The paper studies conformally flat cubic metrics with isotropic curvature, finding they must be Minkowski.
Cubic fourfolds have K-stability and admit Kähler-Einstein metrics.
The study shows that certain cubical presentations lead to aspherical spaces.
SLEIPNIR improves Gaussian process regression with derivatives, scaling up efficiently and accurately.
New cubic forms linked to η-invariants and mod 2 indices.
It is shown that there exist non-singular cubic surfaces in CP^3 containing 5 twistor lines. This is the maximum number of twistor fibres that a non-singular cubic can contain. Cubic surfaces in CP^3 with 5 twistor lines are classified up to transformations preserving the conformal structure of S^4.
We study global log canonical thresholds of cubic surfaces with canonical singularities, and we prove the existence of a Kahler-Einstein metric on two singular cubic surfaces.
Solves infinite family of cubic polynomial problems.
Consider the family of smooth cubic surfaces which can be realized as threefold-branched covers of , with branch locus equal to a smooth cubic curve. This family is parametrized by the space of smooth cubic curves in and each surface is equipped with a $\mathbb{Z}/3\ma…
Density-Regression improves deep uncertainty estimation with faster inference.
Improved kernel ridge regression using conjugate gradients.
Motivated by applications in computational anatomy, we consider a second-order problem in the calculus of variations on object manifolds that are acted upon by Lie groups of smooth invertible transformations. This problem leads to solution curves known as Riemannian cubics on object manifolds that are endowed with norm…
A natural family of affine cubic surfaces arises from SL(2)-characters of the 4-holed sphere and the 1-holed torus. The ideal locus is a tritangent plane which is generic in the sense that the cubic curve at infinity consists of three lines pairwise intersecting in three double points. We show that every affine cubic s…
Classifies hexagonal circular 3-webs with cubic polar curves.
We show that, for Finsler spaces with cubic metric, Landsberg spaces are Berwaldian. Also, for decomposable metrics, we determine specific conditions for a space with cubic metric to be of Berwald type, thus refining the result in [6].
Approximating complex curves with simple parametric curves is widely used in CAGD, CG, and CNC. This paper presents an algorithm to compute a certified approximation to a given parametric space curve with cubic B-spline curves. By certified, we mean that the approximation can approximate the given curve to any given pr…
We give a generalization of the well-known result of E. Cartan on isoparametric cubics by showing that a homogeneous cubic polynomial solution of the eiconal equation must be rotationally equivalent to either , or to one of four exceptional Cartan cubic polynomials…
Study on choosing points on cubic curves, answering some questions about their flexibility.
Researchers classify and visualize 5-cube cubical surfaces.
No nontrivial automorphisms for cubic surfaces moduli space.
Scalable kernel methods for large datasets using Fourier representations and NUFFT.
Study of algebraic dynamics on Markov cubics in tropical geometry.
Origami solves real cubic equations, revealing a specific curve.
Constructs independent bases for cubic curve families using Hessian structures.
We consider non-degenerate centro-affine hypersurface immersions in R^n whose cubic form is parallel with respect to the Levi-Civita connection of the affine metric. There exists a bijective correspondence between homothetic families of proper affine hyperspheres with center in the origin and with parallel cubic form, …
The paper studies 8D manifolds with a specific tensor field called a cubic discriminant.
We establish a quadratic identity for the Yamada polynomial of ribbon cubic graphs in 3-space, extending the Tutte golden identity for planar cubic graphs. An application is given to the structure of the flow polynomial of cubic graphs at zero. The golden identity for the flow polynomial is conjectured to characterize …
Lower bound for complexity of finding flex points on cubic curves.
Up to isomorphism there are six fixed-point free crystallographic groups in Euclidean Space generated by twists (screw motions). In each case, an orientable 3-manifold is obtained as the quotient of E3 by such a group. The cubic tessellation of E3 induces tessellations on each such manifold. These tessellations of the …
Study of convex hypersurfaces with specific curvature properties.