arXiv research

The Gibbs algorithm's generalization error is bounded, improving with prior volume in low temperatures.

The paper proves finite topological type theorems for open manifolds with non-negative Ricci curvature and almost maximal local rewinding volume.

MMCGAN uses explicit manifold learning to improve GAN performance.

New optimal prior avoids bias in complex models with limited data.

Paper uses Transformers to predict intraday volume ratio with high accuracy.

Paper proves optimal systolic inequality for manifolds with positive triRic curvature.

We report on the occurrence of an anomaly in the price impacts of small transaction volumes following a change in the fee structure of an electronic market. We first review evidence for the existence of a master curve for price impact on the Johannesburg Stock Exchange (JSE). On attempting to re-estimate a master curve…

This paper studies the geometry of minimum-volume confidence sets for multinomial parameters.

Framework evaluates the impact of prior knowledge in deep learning models.

A new policy minimizes loss in high-volume, short-lived multi-armed bandit problems.

EB-VAE combines tumor growth and dropout data for personalized treatment response modeling.

Study calculates arbitrage gains between two markets with limited liquidity.

New method uses quotient predictor space for better PAC-Bayes bounds, reducing KL divergence and improving model performance.

This work improves the accuracy of OEF and DBV maps from qBOLD MRI data.

Consider a structured matrix factorization model where one factor is restricted to have its columns lying in the unit simplex. This simplex-structured matrix factorization (SSMF) model and the associated factorization techniques have spurred much interest in research topics over different areas, such as hyperspectral u…

In this paper, we present a multi-period trading model by assuming that traders face not only asymmetric information but also heterogenous prior beliefs, under the requirement that the insider publicly disclose his stock trades after the fact. We show that there is an equilibrium in which the irrational insider camoufl…

We study the fundamental group of an open $n$-manifold $M$ of nonnegative Ricci curvature with additional stability condition on $\widetilde{M}$, the Riemannian universal cover of $M$. We prove that if any tangent cone of $\widetilde{M}$ at infinity is a metric cone, whose cross-section is sufficiently Gromov-Hausdorff…

Improved learning of probabilistic box embeddings by modeling parameters with Gumbel distributions.

In many large-scale machine learning applications, data are accumulated with time, and thus, an appropriate model should be able to update in an online paradigm. Moreover, as the whole data volume is unknown when constructing the model, it is desired to scan each data item only once with a storage independent with the …

We exhibit a concentration-collapse decomposition of singularities of fourth order curvature flows, including the $L^2$ curvature flow and Calabi flow, in dimensions $n \leq 4$. The proof requires the development of several new a priori estimates. First, we develop a smoothing result for initial metrics with small ener…

This paper treats prediction markets as Bayesian inverse problems to quantify uncertainty and identify event outcomes.

A new neural network approach for medical image reconstruction.

We propose a new type of variational autoencoder to perform improved pre-processing for clustering and anomaly detection on data with a given label. Anomalies however are not known or labeled. We call our method conditional latent space variational autonencoder since it separates the latent space by conditioning on inf…

A common challenge in nonparametric inference is its high computational complexity when data volume is large. In this paper, we develop computationally efficient nonparametric testing by employing a random projection strategy. In the specific kernel ridge regression setup, a simple distance-based test statistic is prop…

This paper focuses on the problem of determining as large a region as possible where a function exceeds a given threshold with high probability. We assume that we only have access to a noise-corrupted version of the function and that function evaluations are costly. To select the next query point, we propose maximizing…

Develops a unified framework for computing n-dimensional quasi-conformal mappings.

Researchers predict butt rot volume using harvester data and remote sensing.

We formalize and verify double auctions for multiple-quantity trades.

Study analyzes cryptocurrency pump-and-dump dynamics using minute-level data.

We study the problem of "isotropically rounding" a polytope $K\subset\mathbb{R}^n$, that is, computing a linear transformation which makes the uniform distribution on the polytope have roughly identity covariance matrix. We assume $K$ is defined by $m$ linear inequalities, with guarantee that $rB\subset K\subset RB$, w…

Despite the robust structure of the Internet, it is still susceptible to disruptive routing updates that prevent network traffic from reaching its destination. Our research shows that BGP announcements that are associated with disruptive updates tend to occur in groups of relatively high frequency, followed by periods …

Let $X$ be a canonically polarized variety, i.e. a complex projective variety such that its canonical class $K_{X}$ defines an ample $\Q-$line bundle, and satisfying the conditions $G_1$ and $S_2$. Our main result says that $X$ admits a Kähler-Einstein metric iff $X$ has semi-log canonical singularities i.e. iff $X$ is…

Bayesian deep learning improves accuracy and calibration without sacrificing scalability.

This paper optimizes trading strategies to minimize risk and maximize profit while accounting for market uncertainty.

Infinite volumes of Bergman spaces on product manifolds.

This paper solves the normalizability crisis in sequential inference by introducing bounded information geometry.

New finding links hyperbolic manifold systolic volume to triangulation complexity.

We study hyperbolic bongles and find their volumes.

Study of $p$-adic simplicial volumes and their properties.

Upper bounds for volume spectrum depend on volume, dimension, and a conformal invariant.

Ancient formula connects volume forms and infinitesimal square volumes in manifolds.

In the context of Synthetic Differential Geometry, we describe the square volume of a ``second-infinitesimal simplex'', in terms of square-distance between its vertices. The square-volume function thus described is symmetric in the vertices. The square-volume gives rise to a characterization of the volume form in the t…

The simplicial volume introduced by Gromov provides a topologically accessible lower bound for the minimal volume. Lafont and Schmidt proved that the simplicial volume of closed, locally symmetric spaces of non-compact type is positive. In this paper, we present a generalization of this result to certain non-compact lo…

We show that complete uniform visibility manifolds of finite volume with sectional curvature $-1 \leq K \leq 0$ have positive simplicial volumes. This implies that their minimal volumes are non-zero.

Quasifuchsian hyperbolic manifolds, or more generally convex co-compact hyperbolic manifolds, have infinite volume, but they have a well-defined ``renormalized'' volume. We outline some relations between this renormalized volume and the volume, or more precisely the ``dual volume'', of the convex core. On one hand, the…

Integral filling volume of mapping tori grows sublinearly with complexity.

In this paper, it is shown that for any closed orientable $3$-manifold with positive simplicial volume, the growth of the Seifert volume of its finite covers is faster than the linear rate. In particular, each closed orientable $3$-manifold with positive simplicial volume has virtually positive Seifert volume. The resu…

Integral foliated simplicial volume is a version of simplicial volume combining the rigidity of integral coefficients with the flexibility of measure spaces. In this article, using the language of measure equivalence of groups we prove a proportionality principle for integral foliated simplicial volume for aspherical m…