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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.

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1223 · Sep 202019922001200920172026
48 results for CA

Correspondence analysis (CA) is a multivariate statistical tool used to visualize and interpret data dependencies. CA has found applications in fields ranging from epidemiology to social sciences. However, current methods used to perform CA do not scale to large, high-dimensional datasets. By re-interpreting the object…

2019-02-21abs ↗pdf ↗

These letters, written in 1998-2000, contain various basic results about Courant algebroids (CAs), such as classification of exact and transitive CAs, reduction of CAs, description in terms of symplectic dg manifolds, a canonical generating Dirac operator, and a relation with Poisson-Lie T-duality.

2017-07-02abs ↗pdf ↗

In earlier papers we studied direct limits (G,K)=lim(Gn,Kn)(G,K) = \varinjlim (G_n,K_n) of two types of Gelfand pairs. The first type was that in which the Gn/KnG_n/K_n are compact Riemannian symmetric spaces. The second type was that in which Gn=NnKnG_n = N_n\rtimes K_n with NnN_n nilpotent, in other words pairs (Gn,Kn)(G_n,K_n) for which $G_n/…

2009-09-09abs ↗pdf ↗

Let A(t)A(t) be an elliptic, product-type suspended (which is to say parameter-dependant in a symbolic way) family of pseudodifferential operators on the fibres of a fibration φφ with base Y.Y. The standard example is A+itA+it where AA is a family, in the usual sense, of first order, self-adjoint and elliptic pseudodiffe…

2009-05-01abs ↗pdf ↗

This paper provides a generic framework of component analysis (CA) methods introducing a new expression for scatter matrices and Gram matrices, called Generalized Pairwise Expression (GPE). This expression is quite compact but highly powerful: The framework includes not only (1) the standard CA methods but also (2) sev…

2012-07-16abs ↗pdf ↗

The region of heavy calcium isotopes forms the frontier of experimental and theoretical nuclear structure research where the basic concepts of nuclear physics are put to stringent test. The recent discovery of the extremely neutron-rich nuclei around 60^{60}Ca [Tarasov, 2018] and the experimental determination of masse…

2019-01-22abs ↗pdf ↗

MGDA converges under generalized smoothness for neural network optimization.

problem Optimizing neural networks with standard smoothness assumptions not holding.
method Revisited and analyzed MGDA and its stochastic version for generalized \ell-smooth MOO problems.
result MGDA and its variants converge to Pareto stationary points with guaranteed CA distance.

We study and in some cases classify highly connected manifolds which admit a Riemannian metric with positive pp-curvature. The pp-curvature was defined and studied by the second author. It turns out that positivity of pp-curvature could be preserved under surgeries of codimension at least p+3p+3. This gives a key to …

2012-01-09abs ↗pdf ↗

MPNPs use message passing to exploit relational structure in stochastic processes.

problem Lack of relational information in NPs limits their effectiveness in tasks with neighborhood rules.
method Introduce MPNPs that explicitly use relational structure through message passing.
result MPNPs outperform NPs in tasks with relational information, showing significant gains in few-shot learning.

Study builds models to predict post-cardiac arrest outcomes using patient data.

problem Lack of accurate prognostication methods for patients resuscitated from cardiac arrest.
method Integrated electronic health records (EHR) and physiological time series (PTS) data to train machine learning classifiers.
result Combined EHR-PTS24 models outperformed models using either EHR or PTS24 alone in predicting survival and neurological outcomes.

The abstract explores a new wave equation linking quantum mechanics and complex adaptive systems.

problem Understanding the underlying mechanism of distribution formation in complex quantum entanglement.
method Exploring the logical relationship between Schrödinger's wave equation and Shi's trading volume-price wave equation in finance.
result A non-localized wave equation in quantum mechanics reveals the invariance of interaction as a universal law.

Extends double symplectic groupoids to transitive Courant algebroids.

problem Generalizing double symplectic groupoids to a broader class of Lie bialgebroids.
method Classification of exact twisted Courant algebroids and construction of foliations.
result Generalization of many examples of double symplectic groupoids.

Deep generative models (DGMs) of images are now sufficiently mature that they produce nearly photorealistic samples and obtain scores similar to the data distribution on heuristics such as Frechet Inception Distance (FID). These results, especially on large-scale datasets such as ImageNet, suggest that DGMs are learnin…

2019-05-26abs ↗pdf ↗

A new method reduces variance in training early-stage rankers for large-scale search systems.

problem Training early-stage rankers for large-scale search systems is challenging due to exploding variance in policy gradient methods.
method Proposes credit-assigned policy gradient (CA-PG) to mitigate variance in training early-stage rankers.
result CA-PG significantly reduces variance in training early-stage rankers compared to vanilla policy gradient.

The recently proposed SPARse Factor Analysis (SPARFA) framework for personalized learning performs factor analysis on ordinal or binary-valued (e.g., correct/incorrect) graded learner responses to questions. The underlying factors are termed "concepts" (or knowledge components) and are used for learning analytics (LA),…

2014-12-18abs ↗pdf ↗

Study on homology groups of cDV singularity links, identifying their topology.

problem Identify the topology of links of cDV singularities of types cAncA_n and cDncD_n.
method Analyzing the second integral homology group of the links, using results from Smale and Thom-Sebastiani sums.
result The homology groups of the links are determined for cDV singularities of types cAncA_n and cDncD_n.

COTA learns abstraction maps from data without complete SCM knowledge.

problem Learning causally consistent representations at different resolutions.
method Multi-marginal Optimal Transport (OT) with do-calculus constraints and interventional cost.
result COTA outperforms non-causal and independent formulations on synthetic and real-world problems.

We formulate banks' capital optimization problem as a classic mean variance optimization, by leveraging an accurate linear approximation to the Shapely or Constrained Aumann-Shapley (CAS) allocation of max or nested max cost functions. This reduced form formulation admits an analytical solution, to the optimal leverage…

2019-05-15abs ↗pdf ↗

We construct a pair of transverse genuine laminations on an atoroidal 3-manifold admitting transversely orientable uniform 1-cochain. The laminations are induced by the uniform 1-cochain and they are indeed the "straightening" of the coarse laminations defined in [Ca], by using minimal surface techniques. Moreover, whe…

2003-04-07abs ↗pdf ↗

SepVAE separates patient-specific patterns from healthy ones using contrastive VAE.

problem Separating patient-specific patterns from healthy ones in medical datasets.
method SepVAE uses a contrastive VAE with disentangling and classification losses to differentiate between common and salient features.
result SepVAE outperforms previous methods in three medical applications and a CelebA dataset.

A new CA-GAN architecture improves minority class data generation in health datasets.

problem Algorithmic bias due to health data poverty and underrepresentation of minority groups.
method Proposes CA-GAN architecture to address shortcomings of resampling and GAN-based approaches.
result CA-GAN outperforms SMOTE and WGAN-GP* in generating authentic minority class data and maintaining original distribution.

We introduce three non-trivial 2-cocycles ckc_k, k=0,1,2, on the Lie algebra S3H=Map(S3,H)S^3H=Map(S^3,H) with the aid of the corresponding basis vector fields on S3S^3, and extend them to 2-cocycles on the Lie algebra S3gl(n,H)=S3Hgl(n,C)S^3gl(n,H)=S^3H \otimes gl(n,C). Then we have the corresponding central extension $S^3gl(n,H)\oplus \oplus_k (…

2017-10-25abs ↗pdf ↗

We obtain a complete description of the moduli spaces of homogeneous metrics with strongly positive curvature on the Wallach flag manifolds W6W^6, W12W^{12} and W24W^{24}, which are respectively the manifolds of complete flags in C3\mathbb C^3, H3\mathbb H^3 and Ca3\mathbb{Ca}^3. Together with our earlier work, this concl…

2014-11-28abs ↗pdf ↗

New algorithm for decentralized matching markets without prior preference rankings.

problem Decentralized two-sided matching markets without known preference rankings.
method Epoch-based CA-ETC algorithm for decentralized matching markets.
result Achieves player optimal expected regret of O(T_0 (K log T / T_0 Δ^2)^(1/γ) + T_0 (T / T_0)^γ).

We study the determination of the second-order normal form for perturbed Hamiltonians Hε=H0+εH1+ε22H2H_ε=H_0 +εH_1 +\frac{ε^2}{2} H_2, relative to the periodic flow of the unperturbed Hamiltonian H0H_0. The formalism presented here is global, and can be easily implemented in any CAS. We illustrate it by means of two examples: the H…

2013-01-15abs ↗pdf ↗

The Blaschke's conjecture asserts that if $\diam(M)=\text{Inj}(M)=\frac\pi2$ (up to a rescaling) for a complete Riemannian manifold MM, then MM is isometric to Sn(12)\Bbb S^n(\frac12), RPn{\Bbb R\Bbb P}^{n}, CPn{\Bbb C\Bbb P}^{n}, HPn{\Bbb H\Bbb P}^{n} or CaP2{\Bbb Ca\Bbb P}^{2} endowed with the canonical metric. In the paper…

2015-04-21abs ↗pdf ↗

Characterizes continuity of monotone functionals in mixed topology.

problem Continuity of monotone functionals in mixed topology.
method Characterization through lower semicontinuity and dual representations.
result Continuity in mixed topology is equivalent to dual representation in terms of countably additive measures.