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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.

168,657 papers · 148 categories

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48 results for canonical parameters

The paper introduces canonical parameters for marginally trapped surfaces in Minkowski space.

problem Determining marginally trapped surfaces in Minkowski space.
method Introducing canonical parameters and proving existence and uniqueness theorems.
result Every marginally trapped surface is determined by three smooth functions.

Solves parameter non-identifiability in Bayesian LTI system identification.

problem Parameter non-identifiability in standard Bayesian approaches for LTI system identification.
method Embedding canonical forms of LTI systems within the Bayesian framework.
result Unlocking the use of meaningful priors and robust uncertainty estimates.

Study minimal timelike surfaces in 3D Lorentz-Minkowski space using holomorphic functions.

problem Characterize minimal timelike surfaces in R13\mathbb R^3_1.
method Use a Weierstrass-type formula with holomorphic functions in split-complex numbers to find canonical parameters and corresponding holomorphic functions.
result Enneper surfaces are the only minimal timelike surfaces with polynomial parametrization of degree 3 in isothermal parameters.

The study defines invariants for time-like surfaces with real asymptotic lines.

problem Characterizing time-like surfaces with real asymptotic lines.
method Fundamental theorem of Bonnet-type, canonical parameters, invariant functions, PDEs.
result Time-like surfaces are determined by four invariant functions, two of which can be Gauss and mean curvature.

The paper finds a Weierstrass representation for a specific type of Lorentzian minimal surface.

problem Minimal Lorentzian surfaces in R24\mathbb{R}^4_2 with certain curvature conditions.
method Weierstrass representation with respect to isothermal and canonical parameters.
result Explicit solution to the system of natural PDEs for general type surfaces.

New geometric structures defined on Grassmann manifolds.

problem Understanding geometric properties of Grassmann manifolds.
method Introducing canonical blow-ups and submanifolds by partitioning Plücker coordinates.
result Various geometric aspects of introduced structures are studied, including smoothness, holomorphic symmetries, and existence of Kähler-Einstein metrics.

A new method scales CCA parameters by input to learn more correlated representations.

problem Limitation of conventional CCA models in learning highly correlated representations.
method Introduces a dynamic scaling method for training input-dependent canonical correlation models.
result Learned representations are more correlated and retrieval results are preferable.

Proposes PSCCA for estimating correlations and canonical correlations in sparse count data.

problem Estimating correlations and canonical correlations in sparse count data from next-generation sequencing.
method Probabilistic approach for sparse count data sets (PSCCA).
result PSCCA outperforms other methods in estimating true correlations and canonical correlations at the natural parameter level.

In this paper we study the continuum time dynamics of a stock in a market where agents behavior is modeled by a Minority Game and a Grand Canonical Minority Game. The dynamics derived is a generalized geometric Brownian motion; from the Black & Scholes formula the calibration of both the Minority Game and the Grand Can…

2012-05-11abs ↗pdf ↗

In this paper, we introduce a new parameter, the affine twist parameter for the affine deformation of a sphere with holes. We show that the affine deformation space can be parametrized by Margulis invariants and affine twist parameters. The affine twist parameter is canonically regarded as a correspondence to the Fench…

2015-06-01abs ↗pdf ↗

We study one parameter degenerations of complex projective manifolds by introducing certain type of Hodge metrics coming from the pluricanonical forms. We show that degenerations with at most canonical singularities are all in the finite distance boundary of moduli spaces. We also propose the converse to be true in the…

2002-11-29abs ↗pdf ↗

Let M be a two cusped hyperbolic 3-manifold and let M(r) be the result of r Dehn filling of a fixed cusp of M. We study canonical components of the SL(2,C) character varieties of M(r). We show that the gonality of these sets is bounded, independent of the filling parameter. We also obtain bounds, depending on r, for th…

2014-08-15abs ↗pdf ↗

On any timelike surface with zero mean curvature in the four-dimensional Minkowski space we introduce special geometric (canonical) parameters and prove that the Gauss curvature and the normal curvature of the surface satisfy a system of two natural partial differential equations. Conversely, any two solutions to this …

2011-11-18abs ↗pdf ↗

To ensure interpretability of extracted sources in tensor decomposition, we introduce in this paper a dictionary-based tensor canonical polyadic decomposition which enforces one factor to belong exactly to a known dictionary. A new formulation of sparse coding is proposed which enables high dimensional tensors dictiona…

2017-04-03abs ↗pdf ↗

We introduce canonical correlation forests (CCFs), a new decision tree ensemble method for classification and regression. Individual canonical correlation trees are binary decision trees with hyperplane splits based on local canonical correlation coefficients calculated during training. Unlike axis-aligned alternatives…

2015-07-20abs ↗pdf ↗

Efficient algorithms for sparse parameter recovery in mixture models.

problem Support recovery of high-dimensional sparse latent vectors in mixture models.
method Efficient algorithms with logarithmic sample complexity dependence on dimensionality.
result First guarantees on support recovery for various mixture models.

Study timelike surfaces with parallel mean curvature in Minkowski 4-space.

problem Existence and uniqueness of timelike surfaces with parallel mean curvature.
method Introduce canonical parameters and prove existence and uniqueness theorem.
result Each timelike surface with parallel mean curvature is determined by three geometric functions.

We formulate and solve a tensor model using a latent-variable approach.

problem Parameter inference for Poisson canonical polyadic tensor models.
method Latent-variable formulation, Expectation-Maximization algorithms, Fisher information matrices.
result Derivation of Fisher information for PCP models, insights into model well-posedness.

We prove the logarithmic divergence of equivariant analytic torsion for one-parameter degenerations of projective algebraic manifolds, when the coefficient vector bundle is given by a Nakano semi-positive vector bundle twisted by the relative canonical bundle.

2010-07-16abs ↗pdf ↗

Canonical principal parameters are introduced for surfaces in R3\mathbb R^3 without umbilical points. It is proved that in these parameters the surface is determined (up to position in space) by a pair of invariants satisfying a partial differential equation equivalent to the Gauss equation. As such a pair of invariant…

2019-02-06abs ↗pdf ↗

A new Weyl prior is proposed for Bayesian statistics, offering a more canonical choice for parameter α.

problem Choosing a prior distribution for Bayesian inference.
method Proposed a new Weyl prior based on the Weyl structure on a statistical manifold.
result The Weyl prior is a special case of the α-parallel prior with α = -n, where n is the dimension of the statistical manifold.

Algorithm improves online canonical correlation analysis.

problem Online canonical correlation analysis.
method Stochastic Scaled-Gradient Descent (SSGD) for minimizing expectation over Riemannian manifolds.
result Achieved optimal one-time-scale algorithm with explicit rate of local asymptotic convergence.

Paper proposes an alternative to MLE for GLMs with non-canonical link functions.

problem Challenges in MLE for GLMs with non-canonical link functions.
method Variational Inequality (VI) estimation framework.
result Established finite-sample error bounds and asymptotic normality for VI estimator.

We fully develop the concept of causal symmetry introduced in Class. Quant. Grav. 20 (2003) L139. A causal symmetry is a transformation of a Lorentzian manifold (V,g) which maps every future-directed vector onto a future-directed vector. We prove that the set of all causal symmetries is not a group under the usual comp…

2003-08-28abs ↗pdf ↗

An efficient algorithm for Riemannian logarithm on Stiefel manifold family.

problem Efficient computation of Riemannian logarithm on Stiefel manifold for various metrics.
method Generalizes a matrix-algebraic approach for the canonical metric to a one-parameter family of metrics.
result Conserves local linear convergence for the family of metrics.

The paper uses tensor decompositions to improve neural network models for tree data.

problem Encoding structural knowledge from tree-structured data efficiently.
method Introduces new aggregation functions using Canonical and Tensor-Train decompositions.
result Proposed models outperform traditional methods on tree classification tasks.

Tensor networks constrain kernel machines to Gaussian processes.

problem Speeding up kernel machines with reduced model complexity.
method Proving CPD and TT-constrained models recover Gaussian processes with i.i.d. priors.
result TT-constrained models exhibit more Gaussian process behavior than CPD for the same parameters.