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.
Study dynamic assortment and positioning of products with varying display effects.
A new bandit algorithm for web page item display.
Study adaptive sensing of Cox processes using posterior sampling and positive bases.
New method for learning with non-Euclidean data using decomposable kernels.
Paper identifies resting positions using EGG, ECG, respiration rate, and SpO2.
Neural networks have been proposed recently for positioning and channel charting of user equipments (UEs) in wireless systems. Both of these approaches process channel state information (CSI) that is acquired at a multi-antenna base-station in order to learn a function that maps CSI to location information. CSI-based p…
This paper provides an initial investigation on the application of convolutional neural networks (CNNs) for fingerprint-based positioning using measured massive MIMO channels. When represented in appropriate domains, massive MIMO channels have a sparse structure which can be efficiently learned by CNNs for positioning …
Fingerprinting based WLAN indoor positioning system (FWIPS) provides a promising indoor positioning solution to meet the growing interests for indoor location-based services (e.g., indoor way finding or geo-fencing). FWIPS is preferred because it requires no additional infrastructure for deploying an FWIPS and achievin…
A non-vector-based dissimilarity measure is proposed by combining vector-based distance metrics and set operations. This proposed compound dissimilarity measure (CDM) is applicable to quantify similarity of collections of attribute/feature pairs where not all attributes are present in all collections. This is a typical…
Improves key instance detection in MIL models by using neural network inversion with sparseness constraint.
The paper explores criteria for positivity of forms and proves their strong positivity in specific cases.
A novel method for learning DAGs from positive-valued data.
New -positive representations of surface groups discovered.
Constructs symplectic surface bundles with positive signatures.
Solves Lempert's question on Nakano semi-positivity preservation.
New theorem for spacetime mass in noncompact regions.
We introduce a method for creating a special type of tree, called a tree position, from a weighted graph. Leaves of the tree correspond to vertices of the original graph, and the tree edges contain information which can be used to partition these vertices. By repeatedly applying reducing operations to the tree position…
A new PU classifier PUAL tackles trifurcate data issues.
Two types of nonidentifiability in latent position graphs identified and characterized.
Based on recent work by Futer, Kalfagianni and Purcell, we prove that the volume of sufficiently complicated positive braid links is proportional to the signature defect .
Paper develops a neural-fuzzy controller for GPS-intelligent buoys.
In this paper, it is shown that for any closed orientable -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 -manifold with positive simplicial volume has virtually positive Seifert volume. The resu…
We present conditions under which positive alpha exists in the realm of active portfolio management- in contrast to the controversial result in Jarrow (2010, pg. 20) which implicates delegated portfolio management by surmising that positive alphas are illusionary. Specifically, we show that the critical assumption used…
Assessing the performance of a learned model is a crucial part of machine learning. However, in some domains only positive and unlabeled examples are available, which prohibits the use of most standard evaluation metrics. We propose an approach to estimate any metric based on contingency tables, including ROC and PR cu…
Unified framework analyzes and compares RFF and RoPE PEs for music generation.
Generalizes positivity conjecture to Roger--Yang skein algebras using polynomials.
New method learns from either positive or negative feedback alone.
Riemannian submersions can preserve positive intermediate Ricci curvature, but not necessarily.
The paper bounds bandwidth and focal radius for manifolds with positive isotropic curvature.
Study finds stock selection ability of Chinese mutual funds is better than asset allocation ability.
TBIP uses texts to quantify lawmakers' political positions.
Paper proves flat 3-manifolds with positive mass have unique isoperimetric surfaces.
Paper proposes a method to estimate true positive proportion without knowing it.
The positivity assumption, or the experimental treatment assignment (ETA) assumption, is important for identifiability in causal inference. Even if the positivity assumption holds, practical violations of this assumption may jeopardize the finite sample performance of the causal estimator. One of the consequences of pr…
Study of conformal limits for special opers in Lie groups.
Generalizes surgery theorem for positive Ricci curvature metrics.
In this paper we prove that a conformally compact Einstein manifold with the round sphere as its conformal infinity has to be the hyperbolic space. We do not assume the manifolds to be spin, but our approach relies on the positive mass theorem for asymptotic flat manifolds. The proof is based on understanding of positi…
We propose an approach to reduce both computational complexity and data storage requirements for the online positioning stage of a fingerprinting-based indoor positioning system (FIPS) by introducing segmentation of the region of interest (RoI) into sub-regions, sub-region selection using a modified Jaccard index, and …
Given only positive (P) and unlabeled (U) data, PU learning can train a binary classifier without any negative data. It has two building blocks: PU class-prior estimation (CPE) and PU classification; the latter has been well studied while the former has received less attention. Hitherto, the distributional-assumption-f…
We show that the if a sequence of normalized polynomials gives rise to a positive basis of the skein algebra of a surface, then it is sandwiched between the two types of Chebyshev polynomials. For the closed torus, we show that the normalized sequence of Chebyshev polynomials of type one is the only one w…
Improves PU learning for imbalanced data with practical AUL estimation and new training method.
This paper considers method of creation of an advisor and indicator based on the spectral stochastic analysis model, both with linear and non-linear approximation. The problem of entrance to one or another trade position is solved on the basis of combined analysis of dynamics of quotations of all currency pairs, what a…
New method for PU learning with instance-dependent propensity scores.
In this paper, we use the technique of Finslerian submersion to deduce a flag curvature formula for homogeneous Finsler spaces. Based on this formula, we give a complete classification of even-dimensional smooth coset spaces admitting -invariant Finsler metrics with positive flag curvature. It turns out that t…
SBI provides more accurate pole positions than chi-squared minimization in model misspecification.
The paper proves a discrete positive mass theorem for graphs.
The Witten spinorial argument has been adapted in several works over the years to prove positivity of mass in the asymptotically AdS and asymptotically hyperbolic settings in arbitrary dimensions. In this paper we prove a scalar curvature rigidity result and a positive mass theorem for asymptotically hyperbolic manifol…
We bound the dimension of the fiber of a Riemannian submersion from a positively curved manifold in terms of the dimension of the base of the submersion and either its conjugate radius or the length of its shortest closed geodesic.