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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.

169,051 papers · 148 categories

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48 results for sliced spaces

Study slice-regular polynomial functions via twistor space group actions.

problem Characterize slice-regular functions and their polynomial subclasses.
method Employ the twistor construction and group actions of PGL(2,H)\mathrm{PGL}(2,\mathbb{H}).
result Characterize slice-regular functions with planar twistor lifts and normal classes of polynomials.

The study classifies χχ-slice pretzel links and Seifert fiber spaces.

problem Understanding χχ-slice pretzel links and their properties.
method Analyzing the sliceness of pretzel knots and extending results to pretzel links.
result Complete classifications of positive and negative pretzel links that are χχ-slice, and partial classifications of 3-stranded and 4-stranded pretzel links.

Let ΓΓ be a 3-dimensional Kleinian punctured torus group with ccidental parabolic transformations. The deformation space of ΓΓ in the group of Möbius transformations on the 2-sphere is well-known as the Maskit slice of punctured torus groups. In this paper, we study deformations ΓΓ' of ΓΓ in the group of Möbius tra…

2007-07-17abs ↗pdf ↗

We consider linear slices of the space of Kleinian once-punctured torus groups; a linear slice is obtained by fixing the value of the trace of one of the generators. The linear slice for trace 2 is called the Maskit slice. We will show that if traces converge `horocyclically' to 2 then associated linear slices converge…

2013-03-29abs ↗pdf ↗

In this paper, we prove the existence of maximal slices in anti-de Sitter spaces (ADS spaces) with small boundary data at spatial infinity. The main arguments is implicit function theorem. We also get a necessary and sufficient condition for boundary behavior of totally geodesic slice in ADS space. Moreover, we show th…

2006-09-11abs ↗pdf ↗

Extended elliptical slice sampling for infinite-dimensional spaces, proving reversibility.

problem Proving reversibility of elliptical slice sampling in infinite-dimensional spaces.
method Extended elliptical slice sampling to infinite-dimensional separable Hilbert spaces, providing an alternative proof of reversibility.
result The approach yields a positive semi-definite Markov operator, proving reversibility.

Study on reducing surgeries on knots, developing thickness and genus bounds.

problem Understanding reducible surgeries on knots in S3S^3.
method Developed thickness bounds for L-space knots and lower bounds on slice genus; used dd-invariants and mapping cone formula from Heegaard Floer homology.
result Provided new upper bounds on reducing slopes for fibered, hyperbolic slice knots and on multiple reducing slopes for slice knots; verified the Cabling Conjecture for thin knots.

Improved SSD for faster and more accurate goodness-of-fit tests and model learning.

problem Optimal slicing directions for SSD are computationally expensive and sub-optimal.
method Relaxed optimal slicing requirement, active sub-space construction, spectral decomposition.
result 14-80x speed-up in goodness-of-fit tests compared to gradient-based alternatives.

Let X be a G-space such that the orbit space X/G is metrizable. Suppose a family of slices is given at each point of X. We study a construction which associates, under some conditions on the family of slices, with any metric on X/G an invariant metric on X. We show also that a family of slices with the required propert…

2001-05-28abs ↗pdf ↗

Sharp bounds for max-sliced Wasserstein distances derived for empirical distributions.

problem Estimating the expected max-sliced Wasserstein distance between a probability measure and its empirical distribution.
method Banach space version and operator norm approach for upper bounds.
result Upper bounds for max-sliced Wasserstein distances are essentially matching and sharp up to a log factor.

Sliced Inverse Regression reduces parameter space for estimating complex financial models.

problem High-dimensional parameter space in stochastic differential equations.
method Sliced Inverse Regression for dimension reduction.
result Reduced computational costs in estimating parameters.

New autoencoder improves latent space learning by optimizing sliced Gromov-Wasserstein discrepancies.

problem Improving inner discrepancy between prior and posterior distributions in autoencoders.
method Proposed spherical sliced fused Gromov Wasserstein (SSFG) and variants (MSSFG, PSSFG) to find important directions.
result New autoencoders achieve favorable performance in latent manifold learning, image generation, and reconstruction.

A new method optimizes slicing directions for SW distances to improve high-dimensional probability measure comparison.

problem Challenging identification of informative slicing directions for SW distances.
method Constrained learning approach to optimize slicing directions, using continuous relaxations and gradient-based primal-dual approach.
result Demonstrated efficacy in learning more informative slicing directions on various high-dimensional data.

Sliced inverse regression (SIR) is a pioneer tool for supervised dimension reduction. It identifies the effective dimension reduction space, the subspace of significant factors with intrinsic lower dimensionality. In this paper, we propose to refine the SIR algorithm through an overlapping slicing scheme. The new algor…

2018-06-23abs ↗pdf ↗

DNAF accelerates DQL for efficient resource allocation in network slicing.

problem Efficient resource allocation in network slicing with varying demands.
method Introduced discrete normalized advantage functions (DNAF) into DQL, using a k-nearest neighbor algorithm for discrete action space.
result DNAF-based DQL converges faster through simulations.

A new method for comparing image probability measures using convolution operators.

problem Efficiently comparing images using conventional sliced Wasserstein methods.
method Proposed convolution sliced Wasserstein (CSW) methods with stride, dilation, and non-linear activation.
result CSW demonstrates favorable performance over conventional sliced Wasserstein in image comparison and deep generative modeling.

Develops analogs of character varieties for algebraic correspondences, proving boundedness and compactifications.

problem Characterizing algebraic correspondences and their degenerations.
method Introducing new character varieties and studying degeneration of algebraic correspondences on trees of Riemann spheres.
result Boundedness and natural homeomorphism of compactifications of Teichmüller spaces for the four times punctured sphere.

A new method optimizes projection directions for sliced Wasserstein distances.

problem Finding informative projecting directions for sliced Wasserstein distances is computationally expensive.
method Amortized projection optimization to predict directions efficiently.
result Proposed amortized models improve generative modeling performance.

Study of Riemannian geometry on quaternionic unit ball linked to Sp(1,1) group.

problem Understanding the geometry induced by slice Riemannian metric.
method Developed Lie theoretic study, computed isometry group, compared with quaternionic Poincaré geometry.
result Isometry group of slice Riemannian metric is built from symmetries of Sp(1,1) group.

Study real slices of SL(r,C)-opers via Riemann surface involution.

problem Understanding geometric properties of real slices of SL(r,C)-opers.
method Action of anti-holomorphic involution σ on Riemann surface X, construction of involution for different descriptions of mSL(r,C){ m SL}(r,\mathbb{C})-opers.
result Natural parametrization of fixed point locus via differentials on Riemann surface.

This article concerns cotangent-lifted Lie group actions; our goal is to find local and ``semi-global'' normal forms for these and associated structures. Our main result is a constructive cotangent bundle slice theorem that extends the Hamiltonian slice theorem of Marle, Guillemin and Sternberg. The result applies to a…

2004-09-09abs ↗pdf ↗

A new distance measure balances projection exploration and informativeness.

problem Inefficient and incomplete projection sampling in existing sliced-Wasserstein distances.
method Proposes Distributional Sliced-Wasserstein (DSW) that optimally balances projection exploration and informativeness.
result DSW generalizes Max-SW and can be computed efficiently.

Proposes MFSWB for marginal fairness in SWB, improving efficiency and performance.

problem Achieving marginal fairness in SWB averaging.
method Defining MFSWB as a constrained SWB problem, proposing two surrogate problems and a new slicing distribution.
result Surrogate MFSWB problems effectively minimize distances to marginals and encourage marginal fairness.