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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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59119178237 · May 202619922001200920172026
48 results for logarithmic smoothness

We generalize Cartan's logarithmic derivative of a smooth map from a manifold into a Lie group GG to smooth maps into a homogeneous space M=G/HM=G/H, and determine the global monodromy obstruction to reconstructing such maps from infinitesimal data. The logarithmic derivative of the embedding of a submanifold $Σ\subset M…

2017-02-09abs ↗pdf ↗

This work improves policy evaluation and selection using logarithmic smoothing for pessimistic off-policy estimation.

problem Offline evaluation and selection of policies from past data.
method Develops novel concentration bounds and a logarithmically smoothed estimator (LS) for improved policy selection and learning.
result The logarithmically smoothed estimator (LS) provides tighter bounds and better policy selection and learning.

Solutions near infinity to special Lagrangian equations are asymptotic to quadratic polynomials with logarithmic terms.

problem Solving special Lagrangian equations near infinity with specific conditions.
method Modified Kelvin transforms to characterize remainders in asymptotic expansions.
result Remainders in asymptotic expansions are characterized by a single smooth function in even dimensions and Cn1,αC^{n-1,α} in odd dimensions.

We shall introduce the notion of CC^\infty logarithmic symplectic structures on a differentiable manifold which is an analog of the one of logarithmic symplectic structures in the holomorphic category. We show that the generalized complex structure induced by a CC^\infty logarithmic symplectic structure has unobstruc…

2015-01-14abs ↗pdf ↗

New bounds for online portfolio selection without smoothness assumptions.

problem Online portfolio selection with non-Lipschitz, non-smooth losses.
method Data-dependent bounds using novel smoothness characterizations and FTRL with self-concordant regularizers.
result Achieves logarithmic regrets when data is 'easy' and sublinear worst-case regrets.

Proves a Baum--Bott formula for foliations by curves with logarithmic terms.

problem Analyzing singularities and smoothness in foliations by curves.
method Logarithmic Baum--Bott residues for foliated triples (X,F,D)(X, \mathcal{F}, D), relating to Poincaré's Problem and GSV indices.
result Logarithmic Baum--Bott residues generalize Aleksandrov logarithmic index for vector fields on hypersurfaces.

New method tackles bilevel optimization with polyhedral constraints.

problem Challenges in bilevel optimization with active-set changes and expensive Hessian inversions.
method Logarithmic barrier smoothing and proxy-gradient algorithm for differentiable approximation.
result Stationarity rates of O(K2/3)O(K^{-2/3}) in deterministic setting and O(K2/5)O(K^{-2/5}) under stochastic noise.

In this note we study logarithmic transformations in the sense of differential topology on two fibers of the Hopf surface. It is known that such transformations are susceptible to yield exotic smooth structures on four-manifolds. We will show here that this is not the case for the Hopf surface, all integer homology Hop…

2006-02-25abs ↗pdf ↗

A new subdivision scheme for Heisenberg group values with central smoothness loss.

problem Regularity of limit curves in Heisenberg group-valued subdivision schemes.
method Interpolatory subdivision scheme with central correction based on group law.
result Central part of limit curve converges to a continuous limit with logarithmic modulus of continuity.

Round handles are affiliated with smooth 4-manifolds in two major ways: 5-dimensional round handles appear extensively as the building blocks in cobordisms between 4-manifolds, whereas 4-dimensional round handles are the building blocks of broken Lefschetz fibrations on them. The purpose of this article is to shed more…

2010-09-02abs ↗pdf ↗

Study Higgs bundles on curves with punctures, extending spectral correspondence.

problem Classify Higgs bundles on punctured curves with logarithmic structures.
method Logarithmic Hecke compactification, spectral conditions, and sheaf classification.
result Logarithmic spectral correspondence extended to punctured curves.

Logarithmic corrections to Price's law near black hole event horizon.

problem Failure of smooth null infinity in black hole spacetimes.
method Analyzing linear wave equation on Schwarzschild background with specific initial conditions.
result Leading-order asymptotics of solutions near future null infinity and event horizon are logarithmically modified.

Analyzes structure of log smooth pairs when equality holds in Bogomolov-Gieseker inequality.

problem Analyzing log smooth pairs under equality in Bogomolov-Gieseker inequality.
method Examines structure when equality holds in the Bogomolov-Gieseker inequality for semistable logarithmic tangent bundle and canonical extension sheaf.
result Provides insights into the structure of log smooth pairs under specific conditions.

This work removes logarithmic singularities from hyperboloidal initial data without creating new ones.

problem Logarithmic singularities in hyperboloidal initial data sets.
method Evolutionary framework of the constraint equations and generalization of Beyer and Ritchie's result.
result Generic solutions of the constraint equations are free of logarithmic singularities.

LMC algorithm converges to target in Chi-squared and Renyi divergence.

problem Sampling from target distribution using LMC with strong dissipativity and smoothness conditions.
method LMC algorithm with strong dissipativity and first-order smoothness, initialized with Gaussian.
result LMC reaches ε-neighborhood of target in Chi-squared and Renyi divergence in O(λ²dε⁻¹) steps.

In the previous article we derived a detailed asymptotic expansion of the heat trace for the Laplace-Beltrami operator on functions on manifolds with conic singularities. In this article we investigate how the terms in the expansion reflect the geometry of the manifold. Since the general expansion contains a logarithmi…

2017-10-15abs ↗pdf ↗

The paper challenges the smooth null infinity model by constructing counter-examples and showing non-smoothness of null infinity.

problem The structure of gravitational radiation near infinity, particularly at smooth null infinity.
method Constructing solutions to the spherically symmetric Einstein-Scalar field equations and analyzing asymptotic behavior.
result The asymptotic expansion of the derivative of the scalar field near null infinity contains logarithmic terms, indicating non-smoothness.

Deep ReLU networks can approximate and learn smooth functions efficiently.

problem Efficiently approximating and learning smooth functions using deep ReLU neural networks.
method Extending recent results to anisotropic and mixed smooth function classes, establishing approximation rates.
result Deep ReLU networks achieve minimax optimal rates up to logarithmic factors for various smooth function classes.

We introduce a new invariant, the real (logarithmic)-Kodaira dimension, that allows to distinguish smooth real algebraic surfaces up to birational diffeomorphism. As an application, we construct infinite families of smooth rational real algebraic surfaces with trivial homology groups, whose real loci are diffeomorphic …

2017-08-27abs ↗pdf ↗

Improved sampling for high-dimensional posteriors with underdamped Langevin.

problem Scalability issues in high-dimensional problems with approximate Thompson sampling.
method Underdamped Langevin Monte Carlo for accelerated posterior concentration.
result Logarithmic regret improvement from ildeO(d)\mathcal{ ilde O}(d) to ildeO(d)\mathcal{ ilde O}(\sqrt{d}).

Study on lengths and curvatures of harmonic functions on smooth and singular surfaces.

problem Investigate logarithmic convexity and isoperimetric inequalities of harmonic functions on surfaces.
method Analyzes geodesic curvature, uses Laplace-type equations, and studies growth estimates.
result Generalizes results on logarithmic convexity and isoperimetric inequalities for harmonic functions.

Improved sampling from high-dimensional Gaussians using smoothed scores.

problem Sampling from high-dimensional Gaussian distributions with gradient information.
method Using smoothed scores, which are gradients of the logarithms of Gaussian-convolved densities, to overcome approximation barriers.
result Improved sampling efficiency with a complexity of \(O\left(\left(\logκ+\log(e\sqrt d/δ_{ m TV}) ight)\log(e\sqrt d/δ_{ m TV}) ight)\) smoothed-score queries.

Given a smooth manifold MM equipped with a properly and discontinuous smooth action of a discrete group GG, the nerve MGM_{\bullet}G is a simplicial manifold and its vector space of differential forms TotN(ADR(MG))\operatorname{Tot}_{N}\left(A_{DR}(M_{\bullet}G)\right) carry a CC_{\infty}-algebra structure mm_{\bullet}. We sh…

2017-12-06abs ↗pdf ↗

Unified analysis of online optimization with self-concordant barriers, improving regret bounds.

problem Online convex optimization with specific loss functions.
method Online mirror descent with self-concordant barriers and logarithmic loss.
result Improved regret bounds for online portfolio selection and quantum state learning.

Study on optimal rates for sequential probability assignment using smoothed analysis.

problem Optimal rates for sequential probability assignment under smoothed adversaries.
method General-purpose reduction from minimax rates to transductive learning, development of an efficient algorithm using MLE oracle.
result Optimal (logarithmic) fast rates for parametric and finite VC dimension classes, sublinear regret for general classes.

Let (X,D)(X, D) be a logarithmic pair, and let hh be a singular metric on the tangent bundle, smooth on the open part of XX. We give sufficient conditions on the curvature of hh for the logarithmic and the standard cotangent bundles to be big. As an application, we give a metric proof of the bigness of logarithmic cota…

2016-06-17abs ↗pdf ↗

We develop a general theory of log spaces, in which one can make sense of the basic notions of logarithmic geometry, in the sense of Fontaine-Illusie-Kato. Many of our general constructions with log spaces are new, even in the algebraic setting. In the differentiable setting, our theory yields a framework for treating …

2015-07-24abs ↗pdf ↗

This work improves the convergence theory of diffusion models for generating samples from complex distributions.

problem Improving theoretical understanding of diffusion models, particularly their convergence analysis.
method Developed an instance-dependent convergence rate that adapts to the smoothness of target distributions.
result Established an iteration complexity of min{d,d2/3L1/3,d1/3L}ε2/3\min\{d,d^{2/3}L^{1/3},d^{1/3}L\}\varepsilon^{-2/3} for generating high-quality samples.

This paper investigates the nonparametric regression problem using SVMs with anisotropic Gaussian RBF kernels. Under the assumption that the target functions are resided in certain anisotropic Besov spaces, we establish the almost optimal learning rates, more precisely, optimal up to some logarithmic factor, presented …

2018-10-04abs ↗pdf ↗

We use the framework used by Bakry and Emery in their work on logarithmic Sobolev inequalities to define a notion of coarse Ricci curvature on smooth metric measure spaces alternative to the notion proposed by Y. Ollivier. This function can be used to recover the Ricci tensor on smooth Riemannian manifolds by the formu…

2015-05-15abs ↗pdf ↗

The article calculates the F\mathbb{F}-convergence rate for Ricci flows with closed and smooth tangent flows.

problem Analyzing the convergence rate of Ricci flows with specific tangent flows.
method Calculating the F\mathbb{F}-convergence rate for Ricci flows with closed and smooth tangent flows.
result A Ricci flow with closed and smooth tangent flow is logλθ|\log λ|^{-θ} close to its tangent flow in the F\mathbb{F}-sense.

Parallel-in-time solver reduces ODE simulation time from linear to logarithmic.

problem Efficiently solving ordinary differential equations (ODEs) with reduced computational cost.
method Formulated a parallel-in-time probabilistic numerical ODE solver using time-parallel formulation of iterated extended Kalman smoothers.
result Reduces span cost from linear to logarithmic in the number of time steps.

Bayesian methods estimate regression functions on submanifolds using graph Laplacian eigenbasis.

problem Estimating regression functions on unknown smooth submanifolds.
method Random geometric graph structure, Bayesian priors based on random basis expansion in graph Laplacian eigenbasis.
result Posterior contraction rates are minimax optimal for any positive smoothness index.

The paper extends entropy formulas to super Ricci flows on metric measure spaces.

problem Entropy formulas for super Ricci flows on metric measure spaces.
method Extending Perelman's WW-entropy and Shannon entropy power to super Ricci flows.
result Equivalence between volume non-local collapsing property and lower boundedness of WW-entropy on RCD(0,N)(0, N) spaces.

The paper provides new gradient estimates for solutions to a nonlinear elliptic equation on smooth metric measure spaces.

problem Gradient estimates for solutions to a specific nonlinear elliptic equation on smooth metric measure spaces.
method Nash-Moser iteration technique to obtain local gradient estimates.
result New local gradient estimates for positive solutions to the equation.

The paper studies a 1D diffusion equation with nonlinear Robin boundary conditions and finds conditions for global and finite time blow-up or blow-down.

problem Investigating the behavior of solutions to a specific diffusion equation with nonlinear Robin boundary conditions.
method Analyzing the Ricci flow on a cylinder and applying it to the diffusion equation.
result Conditions for global and finite time blow-up or blow-down of solutions.