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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.

168,742 papers · 148 categories

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4284125167 · Jun 202019922001200920172026
48 results for Lifting Matrix

Paper introduces a taxonomy of reduction matrices for more efficient graph coarsening.

problem Efficiently reducing graph size while preserving important information.
method Introduces a more general notion of reduction matrix, not necessarily the pseudo-inverse of the lifting matrix.
result Reducing the Restricted Spectral Approximation (RSA) by modifying the reduction matrix.

We consider stochastic partial differential equations appearing as Markovian lifts of matrix valued (affine) Volterra type processes from the point of view of the generalized Feller property (see e.g., \cite{doetei:10}). We introduce in particular Volterra Wishart processes with fractional kernels and values in the con…

2019-07-02abs ↗pdf ↗

We address the rectangular matrix completion problem by lifting the unknown matrix to a positive semidefinite matrix in higher dimension, and optimizing a nonconvex objective over the semidefinite factor using a simple gradient descent scheme. With O(μr2κ2nmax(μ,logn))O( μr^2 κ^2 n \max(μ, \log n)) random observations of a $n_1 \times n…

2016-05-23abs ↗pdf ↗

Study on determinants of unitary Brownian motion and their asymptotic laws.

problem Understanding determinants of unitary Brownian motion and their behavior over time.
method Using Stiefel fibration and skew-product decomposition of the Stiefel Brownian motion.
result Prove asymptotic laws for determinants of block entries of unitary Brownian motion.

The task of reconstructing a matrix given a sample of observedentries is known as the matrix completion problem. It arises ina wide range of problems, including recommender systems, collaborativefiltering, dimensionality reduction, image processing, quantum physics or multi-class classificationto name a few. Most works…

2014-12-08abs ↗pdf ↗

The task of estimating a matrix given a sample of observed entries is known as the \emph{matrix completion problem}. Most works on matrix completion have focused on recovering an unknown real-valued low-rank matrix from a random sample of its entries. Here, we investigate the case of highly quantized observations when …

2014-08-26abs ↗pdf ↗

Develops a new causal model for path-dependent link prediction.

problem Existing causal models assume fixed node factors, but real-world links can depend on existing ones.
method Introduces causal lifting and structural pairwise embeddings for path-dependent link prediction.
result Validated on three scenarios, demonstrating improved accuracy for causal link prediction.

Study lift metrics and connections on tangent bundles of Riemannian manifolds.

problem Investigate geometric properties of tangent bundles and their lifts.
method Analyze lift metrics and connections on TMTM of (M,g)(M,g), and study statistical and Codazzi couples.
result Prove a result on 11-Stein and Osserman structures on TMTM.

Exponentially fast SMF algorithm for multi-class classification.

problem Learning interpretable features from high-dimensional data.
method Novel framework that 'lifts' SMF as a low-rank matrix estimation problem.
result Provable exponential convergence to global minimizer under mild assumptions.

When solving consensus optimization problems over a graph, there is often an explicit characterization of the convergence rate of Gradient Descent (GD) using the spectrum of the graph Laplacian. The same type of problems under the Alternating Direction Method of Multipliers (ADMM) are, however, poorly understood. For i…

2017-10-02abs ↗pdf ↗

New theory for local parameterization of deep ReLU networks.

problem Determining local parameters of deep ReLU neural networks.
method Introducing local lifting operators and charts of a manifold, deriving necessary and sufficient conditions for local identifiability.
result Sharp and testable conditions for local identifiability of deep ReLU networks.

In this paper, we define a complete lift for semisprays. If SS is a semispray on a manifold MM, its complete lift is a new semispray ScS^c on TMTM. The motivation for this lift is two-fold: First, geodesics for ScS^c correspond to the Jacobi fields for SS, and second, this complete lift generalizes and unifies previ…

2008-09-08abs ↗pdf ↗

Geometric structures are lifted to higher tangent bundles preserving statistical properties.

problem Lifting statistical structures to higher tangent bundles while maintaining their properties.
method Natural lifts of geometric objects and potentials to higher tangent bundles, preserving statistical manifold structures.
result Lifted statistical structures on higher tangent bundles maintain pseudo-Riemannian metrics and are again statistical manifolds.

Random projections (RP) are a popular tool for reducing dimensionality while preserving local geometry. In many applications the data set to be projected is given to us in advance, yet the current RP techniques do not make use of information about the data. In this paper, we provide a computationally light way to extra…

2019-06-22abs ↗pdf ↗

In the present paper, we study complete and vertical lifts of tensor fields from a smooth manifold MM to its Weil bundle TAMT^A M defined by a Frobenius Weil algebra AA. For a Poisson manifold (M,w)(M,w), we show that the complete lift wCw^C and the vertical lift wVw^V of the Poisson tensor ww are Poisson tensors on $T^…

2009-07-31abs ↗pdf ↗

In this paper we continue to study equivariant pencil liftings and differential operators on the algebra of densities. We emphasize the role that the geometry of the extended manifold plays. Firstly we consider basic examples. We give a projective line of diff(MM)-equivariant pencil liftings for first order operators,…

2014-01-31abs ↗pdf ↗

Convex optimization method recovers low-rank matrices from rank-one projections efficiently.

problem Recovering low-rank matrices from limited rank-one projections.
method Unlifted convex optimization with subgradient method.
result The estimator succeeds with high probability if the number of measurements exceeds r2(d1+d2)r^2 (d_1+d_2) up to logarithmic factors.

The canonical trace and the Wodzicki residue on classical pseudodifferential operators on a closed manifold are characterised by their locality and shown to be preserved under lifting to the universal covering as a result of their local feature. As a consequence, we lift a class of spectral ζζ-invariants using lifted …

2016-03-07abs ↗pdf ↗

The paper constructs Sasakian lifts from Kähler manifolds and studies their properties.

problem Constructing Sasakian structures from Kähler manifolds and analyzing their geometric properties.
method Local construction of Sasakian manifolds from Kähler base using vector field operations.
result Existence and properties of αα-Sasakian Ricci solitons in Sasakian lifts.

This paper extends braid lifting to coloured braid groupoids for all simple disc covers.

problem Lifting braids to homeomorphisms on branched covers of the disc.
method Defines a map from a coloured braid groupoid to a mapping class groupoid for all simple covers of the disc.
result Characterizes the lift of every coloured braid, recovering classical lifting on liftable braids.

We construct some lift of an almost complex structure to the cotangent bundle, using a connection on the base manifold. This generalizes the complete lift defined by I.Sato and the horizontal lift introduced by K.Yano and S.Ishihara. We study some geometric properties of this lift and its compatibility with symplectic …

2005-07-04abs ↗pdf ↗

In Finsler geometry the complete lift vector fields have distinguished geometric significance. For example a vector field on a Finsler manifold is said to be conformal if its complete lift is conformal in usual sense. In this work we define a new Riemannian or Pseudo-Riemannian metric on TM derived from a Finsler metri…

2006-08-07abs ↗pdf ↗

We build upon probabilistic models for Boolean Matrix and Boolean Tensor factorisation that have recently been shown to solve these problems with unprecedented accuracy and to enable posterior inference to scale to Billions of observation. Here, we lift the restriction of a pre-specified number of latent dimensions by …

2019-06-28abs ↗pdf ↗

In studies of smooth maps with good differential topological conditions such as immersions, embeddings, Morse functions and their higher dimensional versions including fold maps and application to geometry, especially algebraic and differential topology of manifolds, liftings or desingulizations of maps of appropriate …

2018-05-15abs ↗pdf ↗

We construct a connection and a curving on a bundle gerbe associated with lifting a structure group of a principal bundle to a central extension. The construction is based on certain structures on the bundle, i.e. connections and splittings. The Deligne cohomology class of the lifting bundle gerbe with the connection a…

2001-07-24abs ↗pdf ↗

Develops a new algebraic framework for differential geometry of infinite dimensional spaces.

problem Creating a differential geometry for infinite dimensional spaces without topology or local coordinates.
method Introduces a general algebraic framework for lifted geometry applicable to various infinite dimensional spaces.
result Stokes' Theorem appears as a form of differentiability in the lifted geometry of spaces of submanifolds.

We show the total space of the canonical line bundle L\mathbb{L} of a Kahler-Einstein manifold XnX^n supports integrable SU(n+1)SU(n+1) structures, or Calabi-Yau structures. The canonical real line bundle LLL \subset \mathbb{L} over a minimal Lagrangian submanifold MXM \subset X is calibrated in this setting and hence can …

2001-09-26abs ↗pdf ↗

We analyze variational inference for highly symmetric graphical models such as those arising from first-order probabilistic models. We first show that for these graphical models, the tree-reweighted variational objective lends itself to a compact lifted formulation which can be solved much more efficiently than the sta…

2014-06-17abs ↗pdf ↗

Study proves Hecke lifting conjecture for torus knots and verifies it for any framed knots.

problem Integrality structure of framed knots' quantum invariants.
method Explicit formulas of colored HOMFLY-PT invariants of torus knots, verified in a limit form for any framed knots.
result Proves Hecke lifting conjecture for torus knots and verifies it for any framed knots.