Research
On-device research index

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.

168,742 papers · 148 categories

Trend · papers per month

180360540720 · Jun 202019922001200920172026
48 results for finite time

New continuous-time optimization algorithms converge in finite time to local minima.

problem Finding local minima in optimization problems.
method Discontinuous dynamical systems with finite-time convergence via Lyapunov-based differential inequality.
result Finite-time convergence to strict local minima with provable settling time.

In this note, we first prove that the solution of mean curvature flow on a finite time interval [0,T)[0,T) can be extended over time TT if the space-time integration of the norm of the second fundamental form is finite. Secondly, we prove that the solution of certain mean curvature flow on a finite time interval [0,T)[0,T)

2009-05-08abs ↗pdf ↗

Study finite time singularities in Ricci flow with bounded scalar curvature.

problem Understanding finite time singularities in Ricci flow with bounded scalar curvature.
method Analyzing blow-up sequences of locally Type I singularities.
result Every blow-up sequence of a locally Type I singularity has a specific property.

Uniform-in-time analysis for Stein Variational Gradient Descent across various metrics.

problem Understanding long-term behavior of finite-particle systems in relation to their mean-field limits.
method Developed uniform-in-time propagation-of-chaos results for continuous-time SVGD using cutoff strategies and finite-dimensional theories.
result Uniform-in-time propagation-of-chaos bounds in various metrics, including Langevin kernel Stein discrepancy, Wasserstein-1, and Wasserstein-2 distances.

The paper analyzes deep neural networks using control theory to set a time limit for their convergence.

problem Understanding the finite-time convergence of deep neural networks.
method Lyapunov based analysis of the loss function, control theory framework, finite-time control of non-linear systems.
result A priori guarantees of finite-time convergence for deep neural networks are provided.

Finite time for subsolutions on Riemannian manifolds proved.

problem Finite extinction time for subsolutions of a specific equation on Riemannian manifolds.
method Proved finite extinction time using weighted Sobolev inequality and assumptions on p, q, and ρ.
result Weak subsolutions to the equation have a finite extinction time.

Study on Ricci flows of awesome homogeneous spaces, proving finite extinction time.

problem Understanding the long-time behavior of Ricci flows on homogeneous spaces.
method Analyzing Ricci flows on non-compact manifolds, focusing on finite extinction time.
result Ricci flows on non-contractible spaces have finite extinction time, confirming conjecture.

We show that if on a compact Kahler threefold there is a solution of the Kahler-Ricci flow which encounters a finite time collapsing singularity, then the manifold admits a Fano fibration. Furthermore, if there is finite time extinction then the manifold is Fano and the initial class is a positive multiple of the first…

2015-07-30abs ↗pdf ↗

We consider the question of whether solutions of variants of Teichmüller harmonic map flow from surfaces MM to general targets can degenerate in finite time. For the original flow from closed surfaces of genus at least 22, as well as the flow from cylinders, we prove that such a finite-time degeneration must occur in…

2018-07-17abs ↗pdf ↗

We give concentration bounds for martingales that are uniform over finite times and extend classical Hoeffding and Bernstein inequalities. We also demonstrate our concentration bounds to be optimal with a matching anti-concentration inequality, proved using the same method. Together these constitute a finite-time versi…

2014-05-12abs ↗pdf ↗

It is known that a complete immersed minimal surface with finite total curvature in H2×R\mathbb H^2\times\mathbb R is proper, has finite topology and each one of its ends is asymptotic to a geodesic polygon at infinity (Hauswirth and Rosenberg, 2006; Hauswirth, Nelli, Sa Earp and Toubiana, 2015). In this paper we prove t…

2016-04-24abs ↗pdf ↗

We show that the moment explosion time in the rough Heston model [El Euch, Rosenbaum 2016, arxiv:1609.02108] is finite if and only if it is finite for the classical Heston model. Upper and lower bounds for the explosion time are established, as well as an algorithm to compute the explosion time (under some restrictions…

2018-01-29abs ↗pdf ↗

Project infinite time series graphs to finite marginal models using number theory.

problem Handling infinite time series graphs for causal inference.
method Projection method using number theory to find common ancestors in infinite graphs.
result Developed algorithm to project infinite graphs to finite marginal models.

Study of deep neural networks using finite-time Lyapunov exponents.

problem Understanding the geometric structures in input space formed by deep neural networks.
method Analogy with dynamical systems, computing finite-time Lyapunov exponents.
result Ridges of large positive exponents divide input space into regions associated with different classes.

Study on SA with heavy-tailed and LRD noise, establishing finite-time bounds.

problem Analyzing stochastic approximation under heavy-tailed and LRD noise.
method Noise-averaging argument to regularize impact of non-classical noise.
result Established first finite-time moment bounds for SA under heavy-tailed and LRD noise.

Let pp be an odd prime. We construct a non-abelian extension ΓΓ of S1S^1 by Z/p×Z/pZ/p \times Z/p, and prove that any finite subgroup of ΓΓ acts freely and smoothly on S2p1×S2p1S^{2p-1} \times S^{2p-1}. In particular, for each odd prime pp we obtain free smooth actions of infinitely many non-metacyclic rank two pp-groups on $…

2007-06-06abs ↗pdf ↗

We investigate finite-time decoupled convergence in nonlinear two-time-scale stochastic approximation.

problem Achieving decoupled convergence in nonlinear two-time-scale stochastic approximation.
method Nested local linearity assumption, suitable step size selection, convergence analysis of matrix cross term, fourth-order moment convergence rates.
result Finite-time decoupled convergence rates can be achieved in nonlinear two-time-scale stochastic approximation with proper step size selection.

First-order method solves stochastic bilevel optimization with linear constraints.

problem Stochastic bilevel optimization with linear constraints and noise.
method Developed a novel framework using gradient-based techniques and smoothed penalty functions.
result Achieved finite-time convergence guarantees for (δ,ε)(δ, ε)-Goldstein stationary points.

Study optimal stopping problems with finite-time horizon and proves continuity and strict monotonicity of the boundary.

problem Optimal stopping problems with finite-time horizon and state-dependent discounting.
method Linear diffusion process, time-homogeneous gain function, fine regularity properties, continuity and strict monotonicity proof.
result Proves continuity and strict monotonicity of the optimal stopping boundary under mild assumptions.

Paper analyzes finite-time performance of SA in RL with Markovian noise.

problem Finite-time analysis of linear two-timescale stochastic approximation with Markovian noise.
method Finite-time analysis of linear two-timescale SA with Markovian noise, considering both transient and steady-state terms.
result No discrepancy in convergence rate between Markovian and martingale noise; transient term is o(1/kc)o(1/k^c) and steady-state term is O(1/k){\cal O}(1/k).

Study K-R flow on Hirzebruch surfaces, showing tangent flows are K-R flows with orbifold singularities.

problem Finite time singularities in Kähler-Ricci flow on Hirzebruch surfaces.
method Analyze tangent flows based at singular points.
result Tangent flows are K-R flows with orbifold singularities.

Given any embedded Lagrangian on a four dimensional compact Calabi-Yau, we find another Lagrangian in the same Hamiltonian isotopy class which develops a finite time singularity under mean curvature flow. This contradicts a weaker version of the Thomas-Yau conjecture regarding long time existence and convergence of Lag…

2010-09-06abs ↗pdf ↗

We construct a non-abelian extension ΓΓ of S1S^1 by $\cy 3 \times \cy 3$, and prove that ΓΓ acts freely and smoothly on S5×S5S^{5} \times S^{5}. This gives new actions on S5×S5S^{5} \times S^{5} for an infinite family $\cP$ of finite 3-groups. We also show that any finite odd order subgroup of the exceptional Lie group $G_…

2007-05-28abs ↗pdf ↗

Let M2\mathbb{M}^{2} be a complete non compact orientable surface of non negative curvature. We prove in this paper some theorems involving parabolicity of minimal surfaces in M2×R\mathbb{M}^{2}\times\mathbb{R}. First, using a characterization of δδ-parabolicity we prove that under additional conditions on M\mathbb{M},…

2015-11-10abs ↗pdf ↗

This work analyzes actor-critic methods for faster convergence.

problem Finite-time analysis and sample complexity of two-time-scale actor-critic methods.
method Non-asymptotic analysis under non-i.i.d. setting, proving convergence to first-order stationary point.
result Actor-critic method finds a first-order stationary point with ildeO(ε2.5)\mathcal{ ilde{O}}(ε^{-2.5}) sample complexity.

I introduce and analyse an anytime version of the Optimally Confident UCB (OCUCB) algorithm designed for minimising the cumulative regret in finite-armed stochastic bandits with subgaussian noise. The new algorithm is simple, intuitive (in hindsight) and comes with the strongest finite-time regret guarantees for a hori…

2016-03-29abs ↗pdf ↗

Paper analyzes convergence rates for multi-agent learning in games.

problem Convergence rates for multi-agent learning in games.
method Characterizes finite-time convergence rates for joint OGD learning on λλ-cocoercive games and develops adaptive algorithms.
result Adaptive algorithms achieve same convergence rates as non-adaptive counterparts.

The paper analyzes finite-time singularities in Spin(7)-structure flows using Shi-type estimates.

problem Analyzing finite-time singularities in Spin(7)-structure flows.
method Proves Shi-type derivative estimates and shows that Λ(x,t) must blow up at finite-time singularities.
result Establishes a general analytic framework for studying Spin(7)-structure flows.

Logarithmic regret achieved in continuous-time linear-quadratic reinforcement learning.

problem Optimizing control actions in unknown continuous-time systems over a finite time horizon.
method Least-squares algorithm based on continuous-time observations and controls, with perturbation analysis and parameter estimation error analysis.
result Logarithmic regret bound of order O((lnM)(lnlnM))O((\ln M)(\ln\ln M)).