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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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143286428571 · Jun 202019922001200920172026
48 results for local bounds

Improved Local SGD convergence for general convex objectives with bounded second-order heterogeneity.

problem Understanding when and why Local SGD outperforms alternatives in distributed optimization.
method Established improved convergence guarantees for Local SGD on general convex objectives under bounded second-order heterogeneity.
result Upper bounds for Local SGD are nearly tight, providing a sharper convergence theory.

Proves convergence of gradient Ricci shrinkers with uniform bounds.

problem Compactness and energy concentration in gradient Ricci shrinkers.
method Bubble-tree convergence and local energy analysis.
result No energy concentrates in neck regions, leading to a local diffeomorphism finiteness theorem.

Proves boundedness of log Fano cone singularities with bounded local volumes.

problem Understanding the boundedness of log Fano cone singularities.
method Analyzes K-semistable log Fano cone singularities with bounded volumes.
result The set of local volumes of klt singularities has zero as the only accumulation point.

Study groups acting on trees with specific local actions, proving cohomology vanishing or infinite.

problem Understanding bounded cohomology of groups with prescribed local actions.
method Proving vanishing or infinite bounded cohomology based on the 2-transitivity of FF'.
result Vanishing or infinite bounded cohomology depending on FF''s 2-transitivity.

We prove a pseudolocality type theorem for compact Ricci Flow under local integral bounds of curvature. The main tool is Local Ricci Flow introduced by Deane Yang in [4] and Pseudolocality Theorem of Perelman in [3]. We also study L^p bounds for the derivatives of curvature and smooth extension of Local Ricci Flow.

2009-03-17abs ↗pdf ↗

Optimal lower bounds for eigenvalues of Dirac-Witten operator on certain submanifolds.

problem Estimating eigenvalues of the Dirac-Witten operator on specific submanifolds.
method Optimal lower bounds derived using intrinsic and extrinsic expressions.
result Limiting-cases of eigenvalues studied and optimal bounds obtained.

Local Hardy spaces defined for Riemannian manifolds with bounded geometry.

problem Defining Hardy spaces for Riemannian manifolds with specific curvature conditions.
method Using local Riesz transforms and atomic Goldberg-type spaces.
result Atomic Hardy spaces and local Hardy spaces are equivalent on Riemannian manifolds with bounded geometry.

This paper provides a general result on controlling local Rademacher complexities, which captures in an elegant form to relate the complexities with constraint on the expected norm to the corresponding ones with constraint on the empirical norm. This result is convenient to apply in real applications and could yield re…

2015-10-06abs ↗pdf ↗

The thesis clarifies when local updates outperform centralized methods in heterogeneous data environments.

problem Understanding when local updates are more effective than centralized or mini-batch methods in distributed optimization.
method Fine-grained consensus-error-based analysis framework, focusing on bounded second-order heterogeneity and third-order smoothness.
result Local updates outperform centralized or mini-batch methods under realistic models of data heterogeneity.

This paper fills in local bounds for Spearman's footrule and Gini's gamma measures of association.

problem Local bounds for bivariate copulas with respect to Spearman's footrule and Gini's gamma measures.
method Computing quasi-copulas that are not copulas for certain values of the measures.
result Presented local bounds for Spearman's footrule and Gini's gamma measures.

We prove a general connection between the communication complexity of two-player games and the sample complexity of their multi-player locally private analogues. We use this connection to prove sample complexity lower bounds for locally differentially private protocols as straightforward corollaries of results from com…

2019-07-01abs ↗pdf ↗

This paper achieves optimal regret bounds for locally private linear contextual bandit.

problem Designing locally private linear contextual bandit algorithms with optimal regret bounds.
method New algorithmic and analytical ideas, including mean absolute deviation analysis and layered principal component regression.
result Achieves an ildeO(T) ilde O(\sqrt{T}) regret upper bound for locally private linear contextual bandit.

The paper calculates bounds on the local Lipschitz constants of neural network layers.

problem Understanding the Lipschitz constants of neural network layers for robustness analysis.
method Analytical approach to determine upper bounds on local Lipschitz constants of affine-ReLU functions.
result The method produces tighter bounds than the standard conservative bound, especially for small perturbations.

The study extends convergence theorems for Ricci-limit spaces with bounded curvature.

problem Understanding convergence properties of Ricci-limit spaces with bounded curvature.
method Establishing C1,αC^{1,α}-regularities and applying Fukaya's fibration theorem.
result Optimal generalization of Fukaya's fibration theorem to C1,αC^{1,α} limit spaces.

Study of mapping class groups on infinite graphs, focusing on their large-scale geometry.

problem Understanding the large-scale geometry of mapping class groups on infinite graphs.
method Using coarse geometry techniques, classify coarsely bounded groups and compute asymptotic dimension.
result Identify conditions for global and local coarsely bounded pure mapping class groups of infinite rank graphs.

We propose a new localized inference algorithm for answering marginalization queries in large graphical models with the correlation decay property. Given a query variable and a large graphical model, we define a much smaller model in a local region around the query variable in the target model so that the marginal dist…

2017-10-28abs ↗pdf ↗

We prove precompactness in an orbifold Cheeger-Gromov sense of complete gradient Ricci shrinkers with a lower bound on their entropy and a local integral Riemann bound. We do not need any pointwise curvature assumptions, volume or diameter bounds. In dimension four, under a technical assumption, we can replace the loca…

2010-05-18abs ↗pdf ↗

We study a basic private estimation problem: each of nn users draws a single i.i.d. sample from an unknown Gaussian distribution, and the goal is to estimate the mean of this Gaussian distribution while satisfying local differential privacy for each user. Informally, local differential privacy requires that each data …

2018-11-20abs ↗pdf ↗

We prove pointwise bounds for L2L^2 eigenfunctions of the Laplace-Beltrami operator on locally symmetric spaces with Q\mathbb{Q}-rank one if the corresponding eigenvalues lie below the continuous part of the L2L^2 spectrum. Furthermore, we use these bounds in order to obtain some results concerning the LpL^p spectrum.

2010-05-17abs ↗pdf ↗

Local knots can't bound smaller surfaces in rational homology 3-spheres.

problem Understanding local knots and their bounds in rational homology 3-spheres.
method Using Heegaard Floer invariant ν+ and additivity results.
result Local knots from ν+ -sharp knots have rational slice genus equal to the slice genus of the original knot.

We derive an upper bound on the local Rademacher complexity of p\ell_p-norm multiple kernel learning, which yields a tighter excess risk bound than global approaches. Previous local approaches aimed at analyzed the case p=1p=1 only while our analysis covers all cases 1p1\leq p\leq\infty, assuming the different feature …

2011-03-03abs ↗pdf ↗

New SGD covering technique yields dimension-independent generalization bounds.

problem Generalization of stochastic gradient descent in non-convex, non-smooth settings.
method Localized ε-covers for SGD trajectories, showing dimension-independent complexity.
result Generalization error upper bounded by O((lognlog(nP))/n)O(\sqrt{(\log n\log(nP))/n}).

The study bounds Hausdorff measure of flat singular points in area-minimizing currents.

problem Bounding Hausdorff measure of flat singular points in area-minimizing currents.
method Proving locally finite (m2)(m-2)-dimensional Hausdorff measure and Minkowski content bounds.
result The set of flat singular points has locally finite (m2)(m-2)-dimensional Hausdorff measure.

A new algorithm estimates mean under varying user data sizes with local differential privacy.

problem Mean estimation with user-level local differential privacy under varying data sizes.
method Distribution-aware mean estimation algorithm for users with varying data sizes.
result Upper and lower bounds on the worst-case risk for mean estimation are derived.