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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.

168,695 papers · 148 categories

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3517021,0531,404 · Jun 202019922001200920172026
48 results for NICE model

NICE model estimates causal effects for image treatments.

problem Challenges in causal effect estimation for multi-dimensional treatments.
method Proposes NICE model for image treatments, incorporating rich multidimensional information.
result NICE significantly outperforms existing models in estimating causal effects for image treatments.

We illustrate an algorithm to classify nice nilpotent Lie algebras of dimension nn up to a suitable notion of equivalence; applying the algorithm, we obtain complete listings for n9n\leq9. On every nilpotent Lie algebra of dimension 7\leq 7, we determine the number of inequivalent nice bases, which can be 00, 11, o…

2018-03-25abs ↗pdf ↗

We introduce a systematic method to produce left-invariant, non-Ricci-flat Einstein metrics of indefinite signature on nice nilpotent Lie groups. On a nice nilpotent Lie group, we give a simple algebraic characterization of non-Ricci-flat left-invariant Einstein metrics in both the class of metrics for which the nice b…

2018-05-22abs ↗pdf ↗

The study shows manifolds with special generic maps also have nice multisections.

problem Characterizing manifolds with special generic maps and multisections.
method Analyzing manifolds with special generic maps and their properties, and showing how these maps restrict the differentiable structures of spheres and manifolds.
result Manifolds admitting special generic maps also admit nice generalized multisections.

Existing Markov Chain Monte Carlo (MCMC) methods are either based on general-purpose and domain-agnostic schemes which can lead to slow convergence, or hand-crafting of problem-specific proposals by an expert. We propose A-NICE-MC, a novel method to train flexible parametric Markov chain kernels to produce samples with…

2017-06-23abs ↗pdf ↗

Deep learning improves causal effect estimation from complex observational data.

problem Estimating causal effects from complex observational data with low bias.
method Unified deep learning framework using multitask recurrent neural networks.
result Deep learning estimator shows lower bias in causal effect estimates.

NICE learns a representation to avoid bad controls in causal inference.

problem Avoiding bad controls in causal inference from observational data.
method Uses invariant risk minimization (IRM) to learn a representation of covariates that avoids bad controls.
result NICE outperforms adjusting for all covariates in cases with unknown collider variables and bad controls.

In some sense, the world is composed of shapes and words, of continuous things and discrete things. The recognition and study of continuous objects in the form of shapes occupies a significant part of the effort of unraveling many geometric questions. Shapes can be rep- resented with great generality by objects called …

2015-04-19abs ↗pdf ↗

Let GG be a real reductive Lie group and τ:GGL(V)τ:G \longrightarrow GL(V) be a real reductive representation of GG with (restricted) moment map $m_{\ggo}: V-{0} \longrightarrow \ggo$. In this work, we introduce the notion of "nice space" of a real reductive representation to study the problem of how to determine if a GG-…

2013-01-21abs ↗pdf ↗

Although neural networks are routinely and successfully trained in practice using simple gradient-based methods, most existing theoretical results are negative, showing that learning such networks is difficult, in a worst-case sense over all data distributions. In this paper, we take a more nuanced view, and consider w…

2016-09-05abs ↗pdf ↗

We introduce a combinatorial method to construct indefinite Ricci-flat metrics on nice nilpotent Lie groups. We prove that every nilpotent Lie group of dimension 6\leq6, every nice nilpotent Lie group of dimension 7\leq7 and every two-step nilpotent Lie group attached to a graph admits such a metric. We construct inf…

2019-08-16abs ↗pdf ↗

Generalizes moment-angle manifolds to arbitrary nice manifolds with corners.

problem Computing cohomology groups and rings for moment-angle manifolds.
method Stable decomposition, rim-cubicalization, partial diagonal maps, polyhedral product.
result Derived formulas for integral cohomology groups and rings of moment-angle manifolds.

Constructs real algebraic functions with both compact and non-compact preimages.

problem Finding real algebraic functions with specific preimage properties.
method Explicit construction of real algebraic functions.
result Demonstrates real algebraic functions on non-compact manifolds with non-compact preimages.

Explaining the prediction of deep neural networks (DNNs) and semantic image compression are two active research areas of deep learning with a numerous of applications in decision-critical systems, such as surveillance cameras, drones and self-driving cars, where interpretable decision is critical and storage/network ba…

2019-08-09abs ↗pdf ↗

Given a rank-two sub-Riemannian structure (M,Δ)(M,Δ) and a point x0Mx_0\in M, a singular curve is a critical point of the endpoint map F:γγ(1)F:γ\mapstoγ(1) defined on the space of horizontal curves starting at x0x_0. The typical least degenerate singular curves of these structures are called \emph{regular singular curves}; the…

2018-10-30abs ↗pdf ↗

As a generalization of Davis-Januszkiewicz theory, there is an essential link between locally standard (Z2)n(\Z_2)^n-actions (or TnT^n-actions) actions and nice manifolds with corners, so that a class of nicely behaved equivariant cut-and-paste operations on locally standard actions can be carried out in step on nice mani…

2008-07-21abs ↗pdf ↗

Introduces new spaces for configurations of points with specific monodromies.

problem Configurations of points with specific monodromies in complex plane subspaces.
method Introduces Hurwitz-Ran spaces for configurations of points in XY\mathcal{X}\setminus\mathcal{Y} and Y\mathcal{Y} with monodromies in Q\mathcal{Q} and GG.
result Proves homeomorphism between Hurwitz-Ran spaces and simplicial Hurwitz spaces.

We propose a dynamical model for business cycle based on an optimal DI model. In the model there exists a conserved quantity, which corresponds to the total energy in a dynamical system. We found that the business cycle with the period 6 or 7 years is nicely reproduced, since the model predicts a periodic motion in the…

2008-03-13abs ↗pdf ↗
Tame Flowsmath.GT

The tame flows are ``nice'' flows on ``nice'' spaces. The nice (tame) sets are the pfaffian sets introduced by Khovanski, and a flow Φ:R×XXΦ: \mathbb{R}\times X\to X on pfaffian set XX is tame if the graph of ΦΦ is a pfaffian subset of R×X×X\mathbb{R}\times X\times X. Any compact tame set admits plenty tame flows. We prove …

2007-02-14abs ↗pdf ↗

This is a postprint of our paper "Force free Moebius motions of the circle" (J. Geom. Symmetry Phys. 27 (2012) 59-65), which we hadn't uploaded to arXiv previously. We would like to draw attention to the relationship with the article "A geometry where everything is better than nice", by Larry Bates and Peter Gibson (to…

2016-05-12abs ↗pdf ↗

The study restricts manifolds with certain explicit SGL maps and constructs them.

problem Restrictions on manifolds admitting specific SGL maps.
method Generalization of Morse functions and canonical projections to construct SGL maps.
result Manifolds admitting certain explicit SGL maps are strongly topologically restricted.

We prove that the Casimir operator acting on sections of a homogeneous vector bundle over a generalized flag manifold naturally extends to an invariant differential operator on arbitrary parabolic geometries. We study some properties of the resulting invariant operators and compute their action on various special types…

2007-08-23abs ↗pdf ↗

A limaçon-like curve, allowing 2π-transition with monotone curvature between concentric curvature elements, is presented. The curve is 4th degree algebraic, 4th degree rational, and shares other common features with Pascal's limaçon.

2013-09-22abs ↗pdf ↗

The paper explores density of stable mappings and their properties.

problem Density of stable mappings in different dimensions.
method Infinitesimal and algebraic methods to prove density of proper stable and topologically stable mappings.
result Density of topologically stable mappings holds for any pair (n,p), and for proper stable mappings if (n,p) is in nice dimensions.

We define a `nice representation' of a finitely presented group G as being a non-degenerate essentially surjective simplicial map f from a `nice' space X into a 3-complex associated to a presentation of G, with a strong control over the singularities of f, and such that X is WGSC (weakly geometrically simply connected)…

2014-10-09abs ↗pdf ↗

Paper describes links of mixed polynomials with specific properties.

problem Understanding the links of mixed polynomials with nice Newton boundaries.
method Analyzes links constructed from sequences of links associated with compact 1-faces of the Newton boundary.
result Links of singularities of inner non-degenerate mixed polynomials can be described using a specific procedure.

In this paper, we consider a CscK metric defined away from divisor and with metric upper bound and lower bound going to zero in certain rate. And we'll prove that this "nicely" behaved metric is a smooth CscK metric across the divisor.

2013-09-01abs ↗pdf ↗

Using standard methods for studying singularities of projections and of contacts, we classify the stable singularities of affine λλ-equidistants of nn-dimensional closed submanifolds of Rq\mathbb R^q, for q2nq\leq 2n, whenever (2n,q)(2n,q) is a pair of nice dimensions.

2013-02-04abs ↗pdf ↗

Paper shows geometric properties preserved by compactifications in relation to coarse structures and group actions.

problem Geometric properties preserved by compactifications in relation to coarse structures and group actions.
method Analyzes compactifications of spaces with coarse structures and group actions, proving preservation of geometric properties.
result Geometric properties are preserved by compactifications when coarse structures and group actions are involved.

In this paper we give a proof of Lichnerowicz Conjecture for compact simply connected manifolds which is intrinsic in the sense that it avoids the {\it Nice Embeddings} into eigen spaces of the Laplacian. Even if one wants to use these embeddings this paper gives a more streamlined proof.

1996-07-17abs ↗pdf ↗

Using open book foliations we show that an overtwisted disc in a planar open book can be put in a topologically nice position. As a corollary, we prove that a planar open book whose fractional Dehn twist coefficients grater than one for all the boundary components supports a tight contact structure.

2014-01-14abs ↗pdf ↗

We present a framework for clustering with cluster-specific feature selection. The framework, CRAFT, is derived from asymptotic log posterior formulations of nonparametric MAP-based clustering models. CRAFT handles assorted data, i.e., both numeric and categorical data, and the underlying objective functions are intuit…

2015-06-25abs ↗pdf ↗

This paper proposes two approaches that quantify the exact relationship among the viability, the absence of arbitrage, and/or the existence of the numéraire portfolio under minimal assumptions and for general continuous-time market models. Precisely, our first and principal contribution proves the equivalence among the…

2012-11-19abs ↗pdf ↗

We present a riemannian structure on the disk that has a remarkably rich structure. Geodesics are hypocycloids and the (negative of the) laplacian has integer spectrum with multiplicity the Dirichlet divisor function. Eigenfunctions of the laplacian are orthogonal polynomials naturally suited to the analysis of acousti…

2016-03-21abs ↗pdf ↗

Study reconstructs Morse-Bott functions with specific preimage conditions on 3D manifolds.

problem Reconstructing Morse-Bott functions with prescribed preimages on 3D manifolds.
method Conditions and approach based on previous work by Sharko and others.
result New result on reconstruction of nice smooth functions with specified preimages.