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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.

168,738 papers · 148 categories

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13263952 · May 202619922001200920172026
48 results for C0 decay

We consider the problem of detecting a tight community in a sparse random network. This is formalized as testing for the existence of a dense random subgraph in a random graph. Under the null hypothesis, the graph is a realization of an Erdös-Rényi graph on NN vertices and with connection probability p0p_0; under the …

2013-08-13abs ↗pdf ↗

A spacetime can be embedded in an enveloping space with all its extensions.

problem Existence and uniqueness of C0-maximal extensions in globally hyperbolic conformally flat spacetimes.
method Proving conformal embedding into an enveloping space containing all extensions.
result Existence and uniqueness of C0-maximal extensions proven.

Proves existence and uniqueness of solutions to a quaternionic Monge-Ampère equation.

problem Solving the quaternionic Monge-Ampère equation for (n1)(n-1)-quaternionic plurisubharmonic functions on a hyperKähler manifold.
method Proves existence and uniqueness of solutions using a Cherrier-type inequality and C1C^1 and C2C^2 estimates.
result Obtains smooth solutions to the quaternionic Monge-Ampère equation.

Study shows a mass quantity for C0C^0 metrics that agrees with ADM mass.

problem Understanding ADM mass for C0C^0 metrics and its behavior under Ricci-DeTurck flow.
method Developed a C0C^0 mass quantity and analyzed its behavior under Ricci-DeTurck flow.
result The C0C^0 mass at infinity is independent of coordinate charts and has controlled distortion under Ricci-DeTurck flow.

Simplified proof and new C0C^0 estimate for Kähler-Einstein metrics.

problem Existence of Kähler-Einstein metrics on Calabi-Yau manifolds.
method Alternative C0C^0 a priori estimate for the Monge-Ampère equation.
result Established a new uniform bound for the solution of the Monge-Ampère equation.

The paper proves the existence of infinitely many nodal solutions to a Paneitz-type equation.

problem Proving the existence of nodal solutions to a specific type of partial differential equation.
method First, a C0C^0-estimate for positive ff-invariant solutions is proven. Then, the existence of mountain pass solutions with arbitrarily large energy is established.
result The existence of infinitely many nodal solutions to the equation Δ2uαΔu+βu=uqΔ^2 u -αΔu +βu = u^q is proven.

We propose a simple change to existing neural network structures for better defending against gradient-based adversarial attacks. Instead of using popular activation functions (such as ReLU), we advocate the use of k-Winners-Take-All (k-WTA) activation, a C0 discontinuous function that purposely invalidates the neural …

2019-05-25abs ↗pdf ↗

Box Thirding identifies the best arm efficiently under limited samples.

problem Efficiently identifying the best arm with limited sampling.
method Iterative ternary comparison of arms, discarding the weakest and exploring the best.
result Achieves comparable performance to Successive Halving with less predefined parameters.

Study shows Hamiltonian diffeomorphisms form a connected component in C0C^0-topology for most symplectic rational surfaces.

problem Understanding the C0C^0-topology of symplectic diffeomorphisms on rational surfaces.
method Combining techniques from symplectic mapping class groups and C0C^0-symplectic topology, establishing C0C^0-distance estimates.
result Hamiltonian diffeomorphisms form a connected component in C0C^0-topology for all but a few exceptions on rational surfaces.

Unique solutions found for wave-like decaying null infinity equations.

problem Wave-like decaying null infinity equations with spherically symmetric Einstein-scalar-field.
method Local and global unique solutions for small initial data.
result Sharp decaying condition for unique solutions.

Study on scalar curvature decay on non-compact manifolds linked at infinity.

problem Understanding scalar curvature decay on non-compact manifolds with topological linking at infinity.
method Analyzing polynomial decay, developing obstruction theory, using μμ--bubble exhaustions, and index theory.
result Topological linking at infinity forces polynomial decay of scalar curvature on manifolds of weakly bounded geometry.

Study on massless Vlasov equation on Reissner-Nordström spacetimes, showing decay rates and non-decay phenomena.

problem Analyzing decay and non-decay rates of solutions to the massless Vlasov equation on Reissner-Nordström spacetimes.
method Quantitative analysis of geodesic flow and comparison to wave equation instability results.
result Exponential decay rates in subextremal cases and polynomial rates in extremal cases, with non-decay of transversal derivatives in extremal cases.

Study examines wave equation decay and Strichartz estimates on conic manifolds.

problem Analyzing wave equation behavior on conic spaces with critical electromagnetic potentials.
method Established decay and Strichartz estimates through localized spectral measure construction.
result Extended and improved previous results on wave equation behavior with critical potentials.

Weight decay stabilizes training dynamics by slowing progressive sharpening.

problem Understanding how weight decay affects training stability in deep learning models.
method Analyzing weight decay effects at the Edge of Stability, developing a mathematical framework.
result Weight decay dampens oscillations and stabilizes sharpness in CNNs, causing a phase transition in MLPs.

Last SGD iterate bounds for overparameterized linear regression.

problem Analyzing the last iterate risk bounds of SGD with decaying stepsize for overparameterized linear regression.
method Problem-dependent analysis of last iterate risk bounds of SGD with geometrically decaying stepsize.
result Proved nearly matching upper and lower bounds on the excess risk for last iterate SGD with geometrically decaying stepsize.

Optimal learning rates decay to zero in easy tasks and maintain a warmup phase in hard tasks.

problem Optimizing learning rates under functional scaling laws for model training.
method Deriving optimal learning-rate schedules based on exponents ss and ββ.
result Sharp phase transition between easy and hard tasks, with different decay behaviors.

We found that factors decay over time, with momentum fitting best.

problem Understanding how factors decay over time and their impact on performance.
method Derived a hyperbolic decay model for factors, tested against linear and exponential alternatives.
result Momentum exhibits hyperbolic decay, outperforming linear and exponential models.

The paper predicts and explains the decay of stock anomaly performance over time.

problem Predicting and explaining the drop in risk-adjusted performance of stock anomalies.
method The authors propose ex-ante characteristics based on hypotheses of out-of-sample decay and in-sample overfitting.
result The year of publication explains 30% of the variance in Sharpe decay across factors.

We give conditions which imply that a complete noncompact manifold with quadratic curvature decay has finite topological type. In particular, we find links between the topology of a manifold with quadractic curvature decay and some properties of the asymptotic cones of such a manifold.

2005-10-27abs ↗pdf ↗

The paper studies harmonic map heat flow stability and decay rates.

problem Analyzing stability and decay rates of harmonic map heat flow solutions.
method Use of homogeneous Besov space B˙p,dp(Rd)\dot{B}^{\frac{d}{p}}_{p,\infty}(\mathbb{R}^d) for small initial data and self-similar decay assumption.
result Decay rates for solutions of the harmonic map flow of the form ablau(t)L(Rd)Ct12\| abla u(t) \|_{L^\infty(\mathbb{R}^d)}\leq Ct^{-\frac12} and self-similar decay under stronger initial conditions.

SHIFT framework identifies subgroups with large ML model performance decay.

problem Large model performance decay in subgroups when deployed.
method Subgroup-scanning Hierarchical Inference Framework (SHIFT) for performance drift.
result SHIFT identifies interpretable subgroups with large performance decay and suggests targeted actions to mitigate it.

Study on optimal ReLU networks with weight decay for interpolation.

problem Interpolating data with radially symmetric distributions using shallow ReLU networks.
method Weight decay regularization in infinite neuron, infinite data limit; analysis of growth rates.
result Existence and growth rates of unique radially symmetric minimizers with weight decay.

Novel Adam-family method with decoupled weight decay for training neural networks.

problem Training nonsmooth neural networks with weight decay.
method Proposes a novel Adam-family method with decoupled weight decay, establishing convergence properties and demonstrating superior performance.
result Asymptotically approximates SGD and enhances generalization performance.

Regularization in the optimization of deep neural networks is often critical to avoid undesirable over-fitting leading to better generalization of model. One of the most popular regularization algorithms is to impose L-2 penalty on the model parameters resulting in the decay of parameters, called weight-decay, and the …

2019-07-21abs ↗pdf ↗