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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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3775112149 · Jun 202019922001200920172026
48 results for hypercube vector

We consider the problem of estimating E[f(U1,,Ud)]\mathbb{E} [f(U^1, \ldots, U^d)], where (U1,,Ud)(U^1, \ldots, U^d) denotes a random vector with uniformly distributed marginals. In general, Latin hypercube sampling (LHS) is a powerful tool for solving this kind of high-dimensional numerical integration problem. In the case of depende…

2013-11-19abs ↗pdf ↗

A second part of detailed elementary introduction into Khovanov homologies. This part is devoted to reduced Jones superpolynomials. The story is still about a hypercube of resolutions of a link diagram. Each resolution is a collection of non-intersecting cycles, and one associates a 2-dimensional vector space with each…

2012-09-23abs ↗pdf ↗

The hypercube's perimeter is significantly larger than expected near half volume.

problem Understanding the isoperimetric profile of the hypercube.
method Analytical proof of perimeter bounds and comparison to Gaussian isoperimetric profile.
result The isoperimetric profile of the hypercube does not converge to the Gaussian profile as dimension increases.

In this paper we introduce a representation of a embedded knotted (sometimes Lagrangian) tori in $\BR^4$ called a hypercube diagram, i.e., a 4-dimensional cube diagram. We prove the existence of hypercube homology that is invariant under 4-dimensional cube diagram moves, a homology that is based on knot Floer homology.…

2010-10-18abs ↗pdf ↗

Paper improves variational inference on Boolean hypercube using quantum methods.

problem Improving variational inference for pairwise Markov random fields on the Boolean hypercube.
method Quantum relaxations of the Kullback-Leibler divergence for upper-bounds, primal-dual optimization, and greedy selection of hierarchies.
result Efficient algorithm and improved bounds for variational inference.

The study shows how discrete graphs can resemble hypercube structures under certain curvature conditions.

problem Understanding the structure of graphs with specific curvature conditions.
method Analyzing weighted graphs with lower Ricci curvature bounds and eigenvalue closeness to establish structural similarity.
result Discrete graphs with specific curvature conditions are close to hypercube structures in terms of Frobenius distance and eigenfunctions.

A new sampling strategy improves reliability and robustness optimization for complex designs.

problem High sample requirements for optimizing reliability and robustness in complex designs.
method Local Latin Hypercube Refinement (LoLHR) for multi-objective design uncertainty optimization.
result LoLHR achieves better results compared to other surrogate-based strategies.

We study a general online linear optimization problem(OLO). At each round, a subset of objects from a fixed universe of nn objects is chosen, and a linear cost associated with the chosen subset is incurred. To measure the performance of our algorithms, we use the notion of regret which is the difference between the to…

2018-06-12abs ↗pdf ↗

New algorithm learns halfspaces over hypercube with random bit flips.

problem Agnostic learning of Boolean halfspaces over discrete domains is computationally hard.
method Smoothed analysis with random bit flips for discrete inputs.
result First efficient algorithm for smoothed agnostic learning of halfspaces over Boolean hypercube.

We give rigidity results for the discrete Bonnet-Myers diameter bound and the Lichnerowicz eigenvalue estimate. Both inequalities are sharp if and only if the underlying graph is a hypercube. The proofs use well-known semigroup methods as well as new direct methods which translate curvature to combinatorial properties.…

2017-05-18abs ↗pdf ↗

In hypercube approach to correlation functions in Chern-Simons theory (knot polynomials) the central role is played by the numbers of cycles, in which the link diagram is decomposed under different resolutions. Certain functions of these numbers are further interpreted as dimensions of graded spaces, associated with hy…

2015-08-08abs ↗pdf ↗

The study finds a diameter bound for graphs with positive entropic Ricci curvature, with optimal bounds for arithmetic mean.

problem Finding diameter bounds for graphs with positive entropic Ricci curvature.
method Using a localized gradient estimate and an equivalent definition of entropic Ricci curvature, the study derives a Bonnet-Myers type diameter bound.
result The derived diameter bound is optimal for arithmetic mean, but not for logarithmic mean.

This paper describes a recursive estimation procedure for multivariate binary densities (probability distributions of vectors of Bernoulli random variables) using orthogonal expansions. For dd covariates, there are 2d2^d basis coefficients to estimate, which renders conventional approaches computationally prohibitive …

2011-12-07abs ↗pdf ↗

This paper considers a new family of variational distributions motivated by Sklar's theorem. This family is based on new copula-like densities on the hypercube with non-uniform marginals which can be sampled efficiently, i.e. with a complexity linear in the dimension of state space. Then, the proposed variational densi…

2019-04-15abs ↗pdf ↗

This work extends score-based methods to binary data on the Boolean hypercube.

problem Learning and sampling binary data on the Boolean hypercube.
method Adopting Bernoulli noise as a smoothing device, deriving a TMF-like expression for the optimal denoiser, and using a Langevin-like sampler.
result The method successfully samples noisy binary data and reduces effective noise through multiple measurements.

Algorithm learns affine transformations robustly from corrupted samples.

problem Learning affine transformations from corrupted samples.
method New geometric certificate and iterative improvement method.
result Total variation distance of O(ε)O(ε) between learned and original distributions.

The Wythoff construction takes a dd-dimensional polytope PP, a subset SS of {0,...,d}\{0,..., d\} and returns another dd-dimensional polytope P(S)P(S). If PP is a regular polytope, then P(S)P(S) is vertex-transitive. This construction builds a large part of the Archimedean polytopes and tilings in dimension 3 and 4. We want …

2004-07-30abs ↗pdf ↗

Stochastic partition models divide a multi-dimensional space into a number of rectangular regions, such that the data within each region exhibit certain types of homogeneity. Due to the nature of their partition strategy, existing partition models may create many unnecessary divisions in sparse regions when trying to d…

2019-03-10abs ↗pdf ↗

For any three-manifold presented as surgery on a framed link (L,Λ) in an integral homology sphere, Manolescu and Ozsváth construct a hypercube of chain complexes whose homology calculates the Heegaard Floer homology of Λ-framed surgery on Y. This carries a natural filtration that exists on any hypercube of chain comple…

2011-09-17abs ↗pdf ↗

We prove the existence of a spectral sequence for Lagrangian Floer homology which converges to the Floer homology of the image of a Lagrangian submanifold under multiple fibred Dehn twists. The E1E_1 term of the sequence is given by the hypercube of "resolutions" of the Dehn twists involved. The proof relies on the exa…

2012-01-23abs ↗pdf ↗

We study the dynamics of co-evolution of producers and customers described by bit-strings representing individual traits. Individual ''size-like'' properties are controlled by binary encounters which outcome depends upon a recognition process. Depending upon the parameter set-up, mutual selection of producers and custo…

2007-06-07abs ↗pdf ↗

This paper investigates the use of multiple directions of stratification as a variance reduction technique for Monte Carlo simulations of path-dependent options driven by Gaussian vectors. The precision of the method depends on the choice of the directions of stratification and the allocation rule within each strata. S…

2010-04-28abs ↗pdf ↗

We study the approximation of measurable functions on the hypercube by functions arising from affine neural networks. Our main achievement is an approximation of any measurable function f ⁣:Wn[1,1]f \colon W_n \to [-1,1] up to a prescribed precision ε>0\varepsilon>0 by a bounded number of neurons, depending only on ε\varepsilon

2019-01-29abs ↗pdf ↗

Paper develops an efficient approach to reduce HPO time.

problem Challenges in determining optimal hyperparameters due to large number and training time.
method Nested Latin hypercube design for initialization, truncated additive Gaussian process model for calibration, sequential model-based algorithm for optimization.
result Demonstrates competitive performance on various machine learning models.

The paper analyzes reflected diffusion models on hypercube data.

problem Challenges in modeling bounded domains with low-dimensional data.
method Employed an infinite series expansion of transition densities to bound the score function and its approximation.
result Established convergence rates for generative algorithm adapting to intrinsic dimensionality.

The staircase property aids deep learning by guiding hierarchical feature learning.

problem Understanding how hierarchical structure influences deep learning performance.
method Defined and proved the staircase property for Boolean hypercube functions, and showed its learnability by layerwise stochastic coordinate descent.
result Staircase functions can be learned in polynomial time using layerwise stochastic coordinate descent on regular neural networks.

We prove diameter bounds for graphs having positive Ricci-curvature bound in Bakry-Emery sense. One result using only curvature and maximal vertex degree is sharp in case of hypercubes. The other result depends on an additional dimension bound, but is independent of the vertex degree. In particular, the second result i…

2016-08-28abs ↗pdf ↗

We consider closed simplicial and cubical nn-complexes in terms of link of their (n2)(n-2)-faces. Especially, we consider the case, when this link has size 3 or 4, i.e., every (n2)(n-2)-face is contained in 3 or 4 nn-faces. Such simplicial complexes with {\em short} (i.e. of length 3 or 4) links are completely classified…

2003-10-13abs ↗pdf ↗

Wilson-loop averages in Chern-Simons theory (HOMFLY polynomials) can be evaluated in different ways -- the most difficult, but most interesting of them is the hypercube calculus, the only one applicable to virtual knots and used also for categorification (higher-dimensional extension) of the theory. We continue the stu…

2015-06-24abs ↗pdf ↗

In this paper we show how to combinatorically compute the rotation class of a large family of embedded Legendrian tori in R5\mathbb{R}^5 with the standard contact form. In particular, we give a formula to compute the Maslov index for any loop on the torus and compute the Maslov number of the Legendrian torus. These for…

2014-05-09abs ↗pdf ↗