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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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4998147196 · Jun 202019922001200920172026
48 results for convex conjugates

The paper tackles efficient computation of optimal transport by approximating conjugates with amortized optimization.

problem Efficient computation of convex conjugates in optimal transport is challenging and limits the quality of transport maps.
method The approach combines amortized approximations of conjugates with a fine-tuning solver to improve transport map quality.
result The method significantly improves the quality of transport maps for the Wasserstein-2 benchmark and models many 2D couplings and flows.

The paper defines Fenchel conjugate and biconjugate on Hadamard manifolds.

problem Defining Fenchel conjugate and biconjugate on curved spaces.
method Introduced a new definition of Fenchel conjugate and biconjugate on Hadamard manifolds based on the tangent bundle.
result Developed a Fenchel-Moreau Theorem for geodesically convex functions on Hadamard manifolds.

The conjugate locus of a point on a surface is the envelope of geodesics emanating radially from that point. In this paper we show that the conjugate loci of generic points on convex surfaces satisfy a simple relationship between the rotation index and the number of cusps. As a consequence we prove the `vierspitzensatz…

2018-06-01abs ↗pdf ↗

Let GG be a compact, simply connected Lie group. If C1,C2\mathcal{C}_1,\mathcal{C}_2 are two GG-conjugacy classes, then the set of elements in GG that can be written as products g=g1g2g=g_1g_2 of elements giCig_i\in \mathcal{C}_i is invariant under conjugation, and its image under the quotient map $G\to G/\operatorname{Ad}(G…

2015-12-30abs ↗pdf ↗

Alternative approach to generative modeling using convex conjugates and optimal transport.

problem Traditional generative modeling splits sampling and mapping; this work explores an alternative.
method Inspired by moment measures, proposes a new factorization and uses optimal transport for recovery.
result Intuitive results on factorized distributions, showing potential for practical tasks.

We study the boundary and lens rigidity problems on domains without assuming the convexity of the boundary. We show that such rigidities hold when the domain is a simply connected compact Riemannian surface without conjugate points. For the more general class of non-trapping compact Riemannian surfaces with no conjugat…

2017-11-28abs ↗pdf ↗

Geodesic flows on specific manifolds are structurally stable.

problem Stability of geodesic flows on compact manifolds without conjugate points.
method Analyzing the CC^{\infty} compact manifold (M,g)(M,g) with quasi-convex universal covering and divergent geodesic rays.
result Proved the C1C^{1}-stability conjecture for geodesic flows of compact manifolds.

We study the pointwise supremum of convex integral functionals If,γ(ξ)=supQ(Ωf(ω,ξ(ω))Q(dω)γ(Q))\mathcal{I}_{f,γ}(ξ)= \sup_{Q} \left( \int_Ωf(ω,ξ(ω))Q(dω)-γ(Q)\right) on L(Ω,F,P)L^\infty(Ω,\mathcal{F},\mathbb{P}) where f:Ω×RRf:Ω\times\mathbb{R}\rightarrow\overline{\mathbb{R}} is a proper normal convex integrand, γγ is a proper convex function on the set of p…

2013-05-26abs ↗pdf ↗

The paper defines subdifferentials on Hadamard manifolds and identifies conditions for Fenchel conjugate equality.

problem Understanding convex analysis on Riemannian manifolds.
method Using Busemann functions to define subdifferentials and investigate Fenchel conjugate equality.
result Identifies conditions for equality in the Fenchel-Young inequality on Hadamard manifolds.

Let Wn\mathcal{W}^{n} be the class of CC^{\infty } complete simply connected nn-dimensional manifolds without conjugate points. The hyperbolic space as well as Euclidean space are good examples of such manifolds. Let % W\in \mathcal{W}^{n} and let AA be a subset of WW. This article aims at characterization and bu…

2013-11-03abs ↗pdf ↗

Latent Gaussian models (LGMs) are widely used in statistics and machine learning. Bayesian inference in non-conjugate LGMs is difficult due to intractable integrals involving the Gaussian prior and non-conjugate likelihoods. Algorithms based on variational Gaussian (VG) approximations are widely employed since they str…

2013-06-05abs ↗pdf ↗

In an incomplete Brownian-motion market setting, we propose a convex monotonic pricing functional for nonattainable bounded contingent claims which is compatible with prices for attainable claims. The pricing functional is defined as the convex conjugate of a generalized entropy penalty functional and an interpretation…

2008-04-01abs ↗pdf ↗

This paper tackles global Nash equilibrium in non-convex multi-player games.

problem Challenges in finding global Nash equilibrium due to non-convexity.
method Conjugate transformation and variational inequality formulation to prove existence and design algorithms.
result Designs an ODE-based algorithm with exponential convergence rate and proves its effectiveness in practical scenarios.

Conjugate gradient (CG) methods are a class of important methods for solving linear equations and nonlinear optimization problems. In this paper, we propose a new stochastic CG algorithm with variance reduction and we prove its linear convergence with the Fletcher and Reeves method for strongly convex and smooth functi…

2017-10-27abs ↗pdf ↗

We consider minimal immersions in MxR. We study existence and uniqueness of associate and conjugate isometric immersions to a given minimal surface. We use the theory of univalent harmonic map between surfaces. Then we study the geometry of associate minimal vertical graphs. We prove that an associate surface of a vert…

2005-12-06abs ↗pdf ↗

The paper introduces a new framework to understand and optimize deep neural networks.

problem Understanding and optimizing the trainability and generalization of deep neural networks.
method Developed a conjugate learning theoretical framework based on convex conjugate duality.
result Demonstrated that training deep neural networks with SGD achieves global optima of empirical risk.

Each compact Riemannian manifold with no conjugate points admits a family of functions whose integrals vanish exactly when central Busemann functions split linearly. These functions vanish when all central Busemann functions are sub- or superharmonic. When central Busemann functions are convex or concave, they must be …

2018-02-13abs ↗pdf ↗

The ratio of convexity radius over injectivity radius may be made arbitrarily small within the class of compact Riemannian manifolds of any fixed dimension at least two. This is proved using Gulliver's method of constructing manifolds with focal points but no conjugate points. The approach is suggested by a characteriz…

2014-12-01abs ↗pdf ↗

The Lebesgue property (order-continuity) of a monotone convex function on a solid vector space of measurable functions is characterized in terms of (1) the weak inf-compactness of the conjugate function on the order-continuous dual space, (2) the attainment of the supremum in the dual representation by order-continuous…

2013-05-10abs ↗pdf ↗

Convex-cocompact groups in infinite hyperbolic space are deformable.

problem Understanding deformability of convex-cocompact groups in infinite hyperbolic spaces.
method Proving convex-cocompact representations form an open set and using bending to deform them.
result Deformable convex-cocompact representations of surface groups not conjugate to exotic PSL(2,R) representations.

Proves FR-NGD optimally approximates evolutionary dynamics and continuous Bayesian inference.

problem Optimizing continuous time replicator equations and continuous Bayesian inference.
method Fisher-Rao natural gradient descent (FR-NGD) and its correspondence with evolutionary dynamics.
result FR-NGD optimally approximates continuous time replicator equations and continuous Bayesian inference.

The aim of this article is to present a comparative review of Riemannian and Finsler geometry. The structures of cut and conjugate loci on Riemannian manifolds have been discussed by many geometers including H. Busemann, M. Berger and W. Klingenberg. The key point in the study of Finsler manifolds is the non-symmetric …

2018-11-28abs ↗pdf ↗

We study in this paper the remnants of the contact partial order on the orbits of the adjoint action of contactomorphism groups on their Lie algebras. Our main interest is a class of non-compact contact manifolds, called convex at infinity.

2017-09-27abs ↗pdf ↗

We construct new examples of immersed minimal surfaces with catenoid ends and finite total curvature, of both genus zero and higher genus. In the genus zero case, we classify all such surfaces with at most 2n+12n+1 ends, and with symmetry group the natural $\bfZ_2$ extension of the dihedral group DnD_n. The surfaces are …

2008-04-26abs ↗pdf ↗

For several decades, the no-arbitrage (NA) condition and the martingale measures have played a major role in the financial asset's pricing theory. We propose a new approach for estimating the super-replication cost based on convex duality instead of martingale measures duality: Our prices will be expressed using Fenche…

2018-07-12abs ↗pdf ↗

The paper provides guarantees for a tangent transform algorithm in logistic regression models.

problem Finding theoretical guarantees for statistical optimality and algorithmic convergence in non-conjugate models.
method Exploiting convex duality and minorizing the marginal likelihood, the paper derives non-asymptotic upper bounds and convergence guarantees for a tangent transform algorithm in logistic regression models.
result The tangent transform algorithm is shown to be locally asymptotically stable without assumptions on the data-generating process.

Optimal risk sharing without convex preferences using aggregate convexity.

problem Risk sharing among non-convex preferences.
method Aggregate convexity principles and Lyapunov convexity, combined with approximation arguments for law invariant risk measures.
result Derivation of a computationally tractable formula for the conjugate of the value function.

We show that, on an oriented compact surface, two sufficiently C2C^2-close Riemannian metrics with strictly convex boundary, no conjugate points, hyperbolic trapped set for their geodesic flows, and same marked boundary distance, are isometric via a diffeomorphism that fixes the boundary. We also prove that the same co…

2016-02-09abs ↗pdf ↗

The paper studies the topological properties of convex sets and their polar mappings.

problem Investigating the topological nature of polar mappings on convex sets.
method Proving homeomorphism and topological conjugacy between polar mappings and involution.
result Inclusion-reversing involutions on convex sets are topologically conjugate to polar mappings.

New surfaces with conjugate points have global blow-down maps in their TT spaces.

problem Constructing global blow-down maps for surfaces with conjugate points.
method Explicit construction of a family of non-trapping Riemannian surfaces with global blow-down maps.
result Global blow-down maps exist for some non-simple surfaces with conjugate points.

We give a global description of envelopes of geodesic tangents of regular curves in (not necessarily convex) Riemannian surfaces. We prove that such an envelope is the union of the curve itself, its inflectional geodesics and its tangential caustics (formed by the conjugate points to those of the initial curve along th…

2004-11-19abs ↗pdf ↗