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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.

169,181 papers · 148 categories

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11213242 · May 202619922001200920182026
48 results for discontinuous profile

We construct sequences of `expander manifolds' and we use them to show that there is a complete connected 2-dimensional Riemannian manifold with discontinuous isoperimetric profile, answering a question of Nardulli and Pansu. Using expander manifolds in dimension 3 we show that for any ε,M>0ε, M>0 there is a Riemannian 3-…

2015-09-08abs ↗pdf ↗

Machine learning predicts biologic therapy outcomes in psoriasis patients.

problem Predicting long-term biologic therapy outcomes in psoriasis patients.
method Machine learning algorithms were used to predict drug discontinuation and treatment duration.
result Machine learning models accurately predict outcomes with high diagnostic accuracy and low MAE.

New method resolves causal heterogeneity by defining a resolution profile.

problem Causal subgroup analyses often oversimplify heterogeneity into a small number of groups.
method Introduces a resolution profile as a functional of the causal feature law, using Bayesian-bootstrap inference.
result Shows that the resolution profile is a continuous path with discontinuities at knots, providing integer-valued subgroup numbers.

Proves nonemptyness of domains for specific group actions.

problem Nonemptyness of domains of proper discontinuity for Anosov groups of affine Lorentzian transformations.
method Proof of nonemptyness of domains of proper discontinuity.
result Proves nonemptyness of domains for Anosov groups of affine Lorentzian transformations.

We consider the deformation of a discontinuous group acting on the Euclidean space by affine transformations. A distinguished feature here is that even a `small' deformation of a discrete subgroup may destroy proper discontinuity of its action. In order to understand the local structure of the deformation space of disc…

2006-03-14abs ↗pdf ↗

Cut-DeepONet handles discontinuities and sharp transitions in neural operators.

problem Neural operators struggle with discontinuities and sharp transitions in PDEs.
method Two-stage training framework that explicitly models discontinuities via a lifting strategy and input-dependent discontinuity prediction.
result Cut-DeepONet outperforms state-of-the-art methods on benchmark PDEs with low-resolution datasets.

Study proves existence of equilibrium in incomplete economies with discontinuous volatility.

problem Existence of incomplete Radner equilibrium with nondegenerate endogenous volatility.
method Established existence of solution for Markovian quadratic BSDEs with discontinuous generators using unique continuation and backward uniqueness.
result Existence of incomplete Radner equilibrium with nondegenerate endogenous volatility.

New domains of discontinuity found for Anosov representations.

problem Understanding Anosov representations acting on homogeneous spaces.
method Constructing open domains of discontinuity for Anosov representations acting on specific homogeneous spaces.
result Describes the largest possible open domains of discontinuity for Zariski dense Anosov representations.

Study new symmetries in non-symmetric spaces and discontinuous groups.

problem Analyze symmetries in non-symmetric homogeneous spaces and discontinuous groups.
method Investigate discrete series, discontinuous groups, and analysis on pseudo-Riemannian spaces.
result New insights into symmetries of non-symmetric homogeneous spaces and discontinuous groups.

Improved method for estimating derivatives of discontinuous functions using stochastic algorithmic differentiation and regression.

problem High Monte-Carlo error in finite difference approximation of discontinuous functions.
method Combining stochastic algorithmic differentiation and regression to estimate derivative of expectations of discontinuous functions.
result Reduction in Monte-Carlo error through decoupling integration of Dirac delta and conditional expectation.

Donors who defer their donations volunteer less in the future.

problem Volunteer labor can be less beneficial to charities than its costs.
method Regression discontinuity design with a procedure to handle manipulation.
result Donor manipulation invalidates standard regression discontinuity design, but a new method provides partial identification bounds.

This article gives an up-to-date account of the theory of discrete group actions on non-Riemannian homogeneous spaces. As an introduction of the motifs of this article, we begin by reviewing the current knowledge of possible global forms of pseudo-Riemannian manifolds with constant curvatures, and discuss what kind of …

2006-03-14abs ↗pdf ↗

Paper analyzes error in stochastic approximation for discontinuous functions.

problem Estimating expected error in discontinuous stochastic approximation.
method Uses finite differences and O(n1/5)O(n^{-1/5}) error estimate for discontinuous functions.
result Achieves error estimate of O(n1/5)O(n^{-1/5}) for discontinuous stochastic representation.

Study proves rigid spectral properties of planets with metric discontinuities.

problem Establishing spectral rigidity for spherically symmetric planets with discontinuities.
method Novel trace formula applied to two wave types in spherically symmetric manifolds with boundary and interior interfaces.
result Spectral rigidity of spherically symmetric planets with discontinuities is proven.

This work models overnight rates with jumps and discontinuities, extending classical short-rate models.

problem Capturing the jump behavior and discontinuities in overnight rates for accurate modeling.
method Developed a term structure modeling framework based on overnight rates, accommodating stochastic discontinuities.
result Simple specifications can capture the jump behavior of overnight rates, and explicit valuation formulas are provided.

The study explores deformations of discrete subgroups in non-compact homogeneous spaces.

problem Addressing the proper discontinuity of discrete subgroups in non-compact homogeneous spaces.
method Classification results for deformations of standard discontinuous groups in pseudo-Riemannian homogeneous spaces.
result Conditions for local rigidity and Zariski-dense deformations in standard quotients.

Paper analyzes SGHMC for non-convex optimization with discontinuous gradients.

problem Training neural networks with ReLU activation.
method Non-asymptotic convergence analysis of SGHMC with discontinuous gradients.
result Explicit upper bounds for expected excess risk in non-convex optimization.

This paper tackles discontinuous neural networks for better approximation of piecewise continuous functions.

problem Limitation of neural networks in approximating piecewise continuous functions due to discontinuities.
method Proposes a decoupled two-step procedure to train a discontinuous deep neural network model.
result Provides approximation guarantees for the proposed model in piecewise continuous function spaces.

Framework uses deep learning and statistical models to solve PDEs with discontinuous coefficients.

problem Solving PDEs with discontinuous coefficients.
method Two-stage physics-informed deep learning and statistical mixture models.
result Framework achieves adaptability and accurate parameter identification.

The paper extends HMC for inference in probabilistic programs with discontinuities.

problem Handling discontinuities in probabilistic programs using HMC.
method Designing a SPPL with language restrictions and a compilation scheme to preserve statistical and syntactic interpretation of if-else statements.
result Inference in probabilistic programs with discontinuities is possible using HMC extensions.

In this article we study properly discontinuous actions on Hilbert manifolds giving new examples of complete Hilbert manifolds with nonnegative, respectively nonpositive, sectional curvature with infinite fundamental group. We also get examples of complete infinite dimensional Kähler manifolds with positive holomorphic…

2013-09-16abs ↗pdf ↗

Estimates discontinuous optimal transport maps between a discrete and continuous distribution.

problem Estimating discontinuous optimal transport maps between a discrete and continuous distribution.
method Entropic optimal transport estimator, computationally efficient.
result The estimator converges at the minimax-optimal rate n1/2n^{-1/2} in the semi-discrete setting.

Anosov representations lead to compact domains in flag manifolds.

problem Constructing cocompact domains of discontinuity for Anosov representations.
method Systematic approach to domains of discontinuity using flag manifolds.
result Every cocompact domain of discontinuity arises from a construction, with exceptions in low rank.

The paper introduces Poincaré profiles for metric spaces and groups, linking them to conformal dimension.

problem Understanding the properties of metric measure spaces and groups with polynomial growth.
method Introducing and analyzing Poincaré profiles for groups and hyperbolic spaces.
result Connection between Poincaré profiles and conformal dimension, leading to non-existence of coarse embeddings.

Profile entropy measures learnability and compressibility of discrete distributions.

problem Understanding the learnability and compressibility of discrete distributions.
method Investigates profile entropy, showing its role in estimation, inference, and compression.
result Profile entropy is a fundamental measure unifying estimation, inference, and compression.

Study of domains of discontinuity in oriented flag manifolds for semi-simple Lie groups.

problem Identifying domains of discontinuity in oriented flag manifolds for semi-simple Lie groups.
method Combinatorial description of proper discontinuity and cocompactness of domains identified by removing a set obtained from the limit set of Γ.
result First examples of cocompact domains of discontinuity in oriented Grassmannians for Hitchin representations.