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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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121242363484 · Jun 202019922001200920172026
48 results for real slices

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.

Proves a specific knot is not smoothly slice using real invariants.

problem Determining the smooth sliceness of (2n,1)(2n,1)-cables of the figure-eight knot.
method Used real Seiberg-Witten Frøyshov invariant and developed an equivariant lattice homotopy type.
result Proves the (2n,1)(2n,1)-cable of the figure-eight knot is not smoothly slice when nn is odd.

Characterizes fractional Dehn twist coefficient and proves slice-Bennequin inequality.

problem Understanding the fractional Dehn twist coefficient and its relation to smooth slice genus.
method Characterization of FDTC and establishing the slice-Bennequin inequality.
result Affine linear lower bound for smooth slice genus in terms of FDTC.

The paper explores statistical and topological properties of sliced probability divergences.

problem Understanding the topological, statistical, and computational consequences of slicing divergences.
method Deriving theoretical properties of sliced probability divergences, including metric axioms preservation and weak continuity.
result Sliced divergences share similar topological properties and have stable sample complexity.

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 ↗

Proposes an online method for high-dimensional streaming data.

problem Increasing variable dimensions with sample size in online kernel sliced inverse regression.
method Introduces approximate linear dependence condition and dictionary variable sets to address the problem. Transforms into online generalized eigen-decomposition problem and uses stochastic optimization for updates.
result Achieves close performance to batch processing kernel sliced inverse regression.

Slice Tuner optimizes data acquisition for accurate and fair machine learning models.

problem Acquiring enough data for all slices of data to ensure accurate and fair models.
method Selective data acquisition using convex optimization and iterative learning curve updates.
result Significantly outperforms baselines in model accuracy and fairness.

Given a slice regular function f:ΩHHf:Ω\subset\mathbb{H}\to \mathbb{H}, with ΩRΩ\cap\mathbb{R}\neq \emptyset, it is possible to lift it to a surface in the twistor space CP3\mathbb{CP}^{3} of S4H{}\mathbb{S}^4\simeq \mathbb{H}\cup \{\infty\} (see~\cite{gensalsto}). In this paper we show that the same result is true if one rem…

2016-05-27abs ↗pdf ↗

We unify slice sampling and Hamiltonian Monte Carlo (HMC) sampling, demonstrating their connection via the Hamiltonian-Jacobi equation from Hamiltonian mechanics. This insight enables extension of HMC and slice sampling to a broader family of samplers, called Monomial Gamma Samplers (MGS). We provide a theoretical anal…

2016-02-25abs ↗pdf ↗

This paper improves normalizing flows by combining MLE and sliced-Wasserstein distance for better data fidelity.

problem Normalizing flows struggle with generating realistic data and detecting out-of-distribution data.
method Proposes a hybrid objective function combining MLE and sliced-Wasserstein distance.
result Shows better generative abilities and lower likelihood of out-of-distribution data.

Study of a G2G_2-equivariant octonionic operator and its right spectrum.

problem Understanding the spectrum of a G2G_2-equivariant octonionic operator.
method Computed the ordinary real spectrum and analyzed the octonionic right-eigenvalue problem using G2G_2-decomposition and residual symmetry analysis.
result Explicit spectral loci (quartic curve and circle) in each complex slice of the octonionic space.

After fixing a marking (V, W) of a quasifuchsian punctured torus group G, the complex length l_V and the complex twist tau_V,W parameters define a holomorphic embedding of the quasifuchsian space QF of punctured tori into C^2. It is called the complex Fenchel-Nielsen coordinates of QF. For a complex number c, let Q_gam…

2011-11-15abs ↗pdf ↗

The paper proposes differentially private sliced inverse regression algorithms for high-dimensional data.

problem Privacy concerns in high-dimensional data analysis.
method Differentially private sliced inverse regression algorithms designed for privacy preservation.
result Achieves minimax lower bounds up to logarithmic factors.

The linear slice of quasi-Fuchsian once-punctured torus groups is defined by fixing the complex length of some simple closed curve to be a fixed positive real number. It is known that the linear slice is a union of disks, and it always has one standard component containing Fuchsian groups. Komori and Yamashita proved t…

2014-12-29abs ↗pdf ↗

FSIR extends SIR for federated learning with privacy and efficiency.

problem Privacy-preserving dimension reduction in federated learning.
method FSIR employs sliced inverse regression with differential privacy and collaborative variable screening.
result FSIR achieves effective dimension reduction and privacy protection in federated learning.

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 ↗

The study examines obstructions to links being shake slice.

problem Understanding when links are not shake slice.
method Examined shake concordance and zero surgery manifolds, and provided obstructions based on Arf invariants and algebraic sliceness.
result Links that are shake concordant have homology cobordant zero surgery manifolds, and provided specific obstructions to shake sliceness.

A knot is said to be slice if it bounds a smooth properly embedded disk in the 4-ball. We demonstrate that the Conway knot, 11n34 in the Rolfsen tables, is not slice. This completes the classification of slice knots under 13 crossings, and gives the first example of a non-slice knot which is both topologically slice an…

2018-08-08abs ↗pdf ↗

New algorithm reduces dimensionality in federated learning.

problem Estimating central dimension reduction subspace and variable selection in federated learning.
method Federated sparse sliced inverse regression, convex optimization, linearized alternating direction method of multipliers.
result Upper bound of statistical error rate established under heterogeneous setting.

A new variational inference method using sliced Wasserstein distance is proposed.

problem The inefficiency and unreasonable properties of Kullback-Leibler divergence.
method Minimizing sliced Wasserstein distance, a valid metric from optimal transport.
result The proposed method approximates the unnormalized distribution efficiently and without requiring a tractable density function.

We show that if the connected sum of two knots with coprime Alexander polynomials is doubly slice, then the Ozsváth-Szabó correction terms as smooth double sliceness obstructions vanish for both knots. Recently, Jeffrey Meier gave smoothly slice knots that are topologically doubly slice, but not smoothly doubly slice. …

2016-11-23abs ↗pdf ↗

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.

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.