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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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20406080 · Jun 202019922001200920172026
48 results for non-equal volume partitions

New partition designs reduce star discrepancy in high-dimensional sampling.

problem Improving the expected star discrepancy in high-dimensional sampling.
method Developed non-equal volume partitions to achieve lower expected star discrepancy.
result Explicit upper bounds for expected star discrepancy under non-equal volume partitions.

The paper analyzes continuous optimization for DAG structure learning and its limitations.

problem The performance of continuous structure learning approaches is not consistent after data standardization.
method Analysis of continuous optimization for DAG structure learning, focusing on equal and non-equal noise variances.
result Continuous structure learning approaches may not perform well after data standardization, especially with non-equal noise variances.

Standard bubbles and partitions are stable in various model spaces.

problem Stability of standard bubbles and partitions in different model spaces.
method New conjugated Brascamp-Lieb inequality and conformally flattening boundary potential.
result Stability of standard bubbles and partitions in Rn\mathbb{R}^n, Sn\mathbb{S}^n, and Hn\mathbb{H}^n.

A method for optimal Bayesian filtering using progressive particle flow and optimal transport maps.

problem Optimizing Bayesian filtering with deterministic particles to avoid degeneration.
method Progressive flow of particles through a sequence of sub-steps, each using an optimal transport map to replace non-equally weighted particles with equally weighted ones.
result The method avoids particle degeneration and simplifies the filtering process by not requiring inversions or monotonicity constraints.

The paper studies Teichmüller TQFT for hyperbolic knots, proving exponential decay of partition functions.

problem Analyzing Teichmüller TQFT for hyperbolic knots with generalized FAMED triangulations.
method Introducing generalized FAMED property, proving exponential decay of partition functions in semi-classical limit.
result Partition functions decay exponentially with the volume of knot complements, and the 1-loop invariant emerges.

Chern-Simons theory on a closed contact three-manifold is studied when the Lie group for gauge transformations is compact, connected and abelian. A rigorous definition of an abelian Chern-Simons partition function is derived using the Faddeev-Popov gauge fixing method. A symplectic abelian Chern-Simons partition functi…

2012-08-08abs ↗pdf ↗

A gas of NN Bogomol'nyi vortices in the Abelian Higgs model is studied on a compact Riemann surface of genus gg and area AA. The volume of the moduli space is computed and found to depend on N,gN, g and AA, but not on other details of the shape of the surface. The volume is then used to find the thermodynamic partit…

1998-07-02abs ↗pdf ↗

The paper proves an infinite double bubble theorem in higher dimensions.

problem Characterizing minimizing partitions of infinite and finite volumes in Rn\mathbb{R}^n.
method Proves a variant of the double bubble theorem for configurations with infinite and finite chambers.
result Locally minimizing (1,2)(1,2)-clusters are unique in Rn\mathbb{R}^n for n7n\leq 7 and n8n\geq 8 under certain conditions.

It is shown that 33 disjoint sets with fixed Gaussian volumes that partition Rn\mathbb{R}^{n} with nearly minimum total Gaussian surface area must be close to adjacent 120120 degree sectors, when n2n\geq2. These same results hold for any number mn+1m\leq n+1 of sets partitioning Rn\mathbb{R}^{n}, conditional on the solut…

2019-01-13abs ↗pdf ↗

The paper evaluates forecast accuracy of realized volatility measures in large cross-sections.

problem Forecast evaluation of realized volatility measures in large cross-sections of financial data.
method Equal predictive accuracy testing procedures, LASSO shrinkage, measurement error correction, cross-sectional jump component measures.
result The augmented HAR model outperforms the standard HAR model in forecasting realized volatility.

We study the effect of a relevant double-trace deformation on the partition function (and conformal anomaly) of a CFT at large N and its dual picture in AdS. Three complementary previous results are brought into full agreement with each other: bulk and boundary computations, as well as their formal identity. We show th…

2007-02-20abs ↗pdf ↗

Proves simplicity of Lyapunov exponents for specific Anosov flows.

problem Proving all Lyapunov exponents have multiplicity 1 for certain Anosov flows.
method Perturbative results for flows, modification of eigenvalues, Markov partition, and simplicity criterion.
result In a C1C^1-open and CkC^k-dense set of Anosov flows, all Lyapunov exponents have multiplicity 1.

The generalized volume conjecture relates asymptotic behavior of the colored Jones polynomials to objects naturally defined on an algebraic curve, the zero locus of the A-polynomial A(x,y)A(x,y). Another "family version" of the volume conjecture depends on a quantization parameter, usually denoted qq or \hbar; this quan…

2012-03-09abs ↗pdf ↗

New findings on maximizing noise stability in partitions of Gaussian space.

problem Maximizing noise stability in partitions of Gaussian space.
method Analyzing the correlation between sets and their noise stability, proving conditional conjectures and hardness results.
result Hyperstable partitions maximize noise stability and have specific properties.

In this paper we consider the large genus asymptotics for Masur-Veech volumes of arbitrary strata of Abelian differentials. Through a combinatorial analysis of an algorithm proposed in 2002 by Eskin-Okounkov to exactly evaluate these quantities, we show that the volume ν1(H1(m))ν_1 \big( \mathcal{H}_1 (m) \big) of a stratum i…

2018-04-15abs ↗pdf ↗

It is shown that mm disjoint sets with fixed Gaussian volumes that partition Rn\mathbb{R}^{n} with minimum Gaussian surface area must be (m1)(m-1)-dimensional. This follows from a second variation argument using infinitesimal translations. The special case m=3m=3 proves the Double Bubble problem for the Gaussian measure,…

2018-05-25abs ↗pdf ↗

We consider odd Laplace operators acting on densities of various weight on an odd Poisson (= Schouten) manifold MM. We prove that the case of densities of weight 1/2 (half-densities) is distinguished by the existence of a unique odd Laplace operator depending only on a point of an ``orbit space'' of volume forms. This…

2002-05-18abs ↗pdf ↗

Several fundamental problems that arise in optimization and computer science can be cast as follows: Given vectors v1,,vmRdv_1,\ldots,v_m \in \mathbb{R}^d and a constraint family B2[m]{\cal B}\subseteq 2^{[m]}, find a set SBS \in \cal{B} that maximizes the squared volume of the simplex spanned by the vectors in SS. A motivatin…

2017-07-10abs ↗pdf ↗

Paper certifies intersection of minimum-volume confidence sets for multinomial outcomes.

problem Certifying intersection of minimum-volume confidence sets for multinomial outcomes.
method Exploits likelihood ordering to induce halfspace constraints, enabling adaptive geometric partitioning and computable bounds on p-values.
result Efficient and provably sound algorithm for certifying intersection, disjointness, or indeterminate result.

We show that the link invariants derived from 3-dimensional quantum hyperbolic geometry can be defined by means of planar state sums based on link diagrams and a new family of enhanced Yang-Baxteroperators (YBO) that we compute explicitly. By a local comparison of the respective YBO's we show that these invariants coin…

2011-01-10abs ↗pdf ↗

Study optimizes perimeter in convex domains with anisotropic constraints.

problem Optimizing perimeter in convex domains with anisotropic constraints.
method Analytical properties, topological features, and geometric measure theory results.
result Sharp isoperimetric inequalities and existence of minimizers.

Evaluating the log determinant of a positive definite matrix is ubiquitous in machine learning. Applications thereof range from Gaussian processes, minimum-volume ellipsoids, metric learning, kernel learning, Bayesian neural networks, Determinental Point Processes, Markov random fields to partition functions of discret…

2018-02-21abs ↗pdf ↗

This research extends topological recursion to hyperbolic surfaces with tight boundaries and conical defects.

problem Calculating volumes of hyperbolic surfaces with special boundaries.
method Generalized topological recursion to handle tight boundaries and conical defects.
result Weil-Petersson volumes are polynomial in boundary lengths for hyperbolic surfaces with tight boundaries and conical defects.

We generalize the recently discovered relationship between JT gravity and double-scaled random matrix theory to the case that the boundary theory may have time-reversal symmetry and may have fermions with or without supersymmetry. The matching between variants of JT gravity and matrix ensembles depends on the assumed s…

2019-07-07abs ↗pdf ↗

We consider the Witten-Reshetikhin-Turaev invariants or Chern-Simons partition function at or around roots of unity q=e2πi1Kq=e^{2πi \frac{1}{K}} with rational level K=rsK=\frac{r}{s} where rr and ss are coprime integers. From the exact expression for the G=SU(2)G=SU(2) Witten-Reshetikhin-Turaev invariants of Seifert manifolds at…

2019-06-28abs ↗pdf ↗

The study examines the balancedness of random partition models and finds the rich-get-richer characteristic is a result of model assumptions.

problem The balancedness of random partition models is largely neglected in the literature.
method Formulated a framework to define and study the balancedness of exchangeable random partition models, analyzed using product-form exchangeability and projectivity assumptions.
result The 'rich-get-richer' characteristic is an inevitable consequence of the model assumptions.

The paper develops mixed-integer formulations for neural networks using partitioning.

problem Optimizing trained ReLU neural networks with balanced model size and tightness.
method Partitioning node inputs into groups, forming the convex hull via disjunctive programming.
result The proposed formulations outperform existing ones, especially with fewer partitions.

The paper constructs Markov partitions for geodesic flow on hyperbolic surfaces.

problem Understanding Markov partitions for general hyperbolic flows.
method Rigorous construction of Markov partitions for geodesic flow on Riemann surfaces of constant negative curvature.
result Explicit forms of rectangles and local cross sections provided for the geodesic flow.