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We study the Optimal Transport problem for laws of random measures in the Kantorovich-Wasserstein space $\mathcal{P}_2(\mathcal{P}_2(\mathrm{H}))$, associated with a Hilbert space $\mathrm{H}$ (with finite or infinite dimension) and for the…

Functional Analysis · Mathematics 2025-09-03 Alessandro Pinzi , Giuseppe Savaré

Probabilistic Latent Variable Models (LVMs) excel at modeling complex, high-dimensional data through lower-dimensional representations. Recent advances show that equipping these latent representations with a Riemannian metric unlocks…

Machine Learning · Computer Science 2025-05-20 Luis Augenstein , Noémie Jaquier , Tamim Asfour , Leonel Rozo

We find equivalent hypergeometric- and difference-equation-based formulas, $Q(k,\alpha)= G_1^k(\alpha) G_2^k(\alpha)$, for $k = -1, 0, 1,\ldots,9$, for that (rational-valued) portion of the total separability probability for generalized…

Quantum Physics · Physics 2015-04-20 Paul B. Slater

Convergence of a projected stochastic gradient algorithm is demonstrated for convex objective functionals with convex constraint sets in Hilbert spaces. In the convex case, the sequence of iterates ${u_n}$ converges weakly to a point in the…

Optimization and Control · Mathematics 2019-10-01 Caroline Geiersbach , Georg Pflug

We study the fine regularity properties of optimal potentials for the dual formulation of the Hellinger--Kantorovich problem (HK), providing sufficient conditions for the solvability of the primal Monge formulation. We also establish new…

Analysis of PDEs · Mathematics 2023-09-27 Matthias Liero , Alexander Mielke , Giuseppe Savaré

In this article, we consider the preconditioned Hamiltonian Monte Carlo (pHMC) algorithm defined directly on an infinite-dimensional Hilbert space. In this context, and under a condition reminiscent of strong log-concavity of the target…

Probability · Mathematics 2020-11-18 Jakiw Pidstrigach

In this note we link symplectic and convex geometry by relating two seemingly different open conjectures: a symplectic isoperimetric-type inequality for convex domains, and Mahler's conjecture on the volume product of centrally symmetric…

Metric Geometry · Mathematics 2015-01-14 Shiri Artstein-Avidan , Roman Karasev , Yaron Ostrover

We present a brief but nearly self-contained proof of a formula for the Weil-Petersson Hessian of the geodesic length of a closed curve (either simple or not simple) on a hyperbolic surface. The formula is the sum of the integrals of two…

Differential Geometry · Mathematics 2009-02-03 Michael Wolf

For statistical inference on an infinite-dimensional Hilbert space $\H $ with no moment conditions we introduce a new class of energy distances on the space of probability measures on $\H$. The proposed distances consist of the integrated…

Statistics Theory · Mathematics 2024-03-19 Holger Dette , Jiajun Tang

The Hilbert metric is a distance function defined for points lying within the interior of a convex body. It arises in the analysis and processing of convex bodies, machine learning, and quantum information theory. In this paper, we show how…

Computational Geometry · Computer Science 2023-12-12 Auguste Gezalyan , Soo Kim , Carlos Lopez , Daniel Skora , Zofia Stefankovic , David M. Mount

We present a systematic perturbative construction of the most general metric operator (and positive-definite inner product) for quasi-Hermitian Hamiltonians of the standard form, H= p^2/2 + v(x), in one dimension. We show that this problem…

Quantum Physics · Physics 2009-11-11 Ali Mostafazadeh

Given a compact metric space $X$, the collection of Borel probability measures on $X$ can be made into a compact metric space via the Kantorovich metric. We partially generalize this well known result to projection-valued measures. In…

Functional Analysis · Mathematics 2016-08-08 Trubee Davison

Distribution comparison plays a central role in many machine learning tasks like data classification and generative modeling. In this study, we propose a novel metric, called Hilbert curve projection (HCP) distance, to measure the distance…

Machine Learning · Computer Science 2024-02-07 Tao Li , Cheng Meng , Hongteng Xu , Jun Yu

Sets of bilinear constraints are important in various machine learning models. Mathematically, they are hyperbolas in a product space. In this paper, we give a complete formula for projections onto sets of bilinear constraints or hyperbolas…

Optimization and Control · Mathematics 2021-12-07 Heinz H. Bauschke , Manish Krishan Lal , Xianfu Wang

We associate certain probability measures on $\R$ to geodesics in the space $\H_L$ of positively curved metrics on a line bundle $L$, and to geodesics in the finite dimensional symmetric space of hermitian norms on $H^0(X, kL)$. We prove…

Differential Geometry · Mathematics 2009-07-13 Bo Berndtsson

Given a compact K\"ahler manifold $(X,\omega)$, due to the work of Darvas-Di Nezza-Lu, the space of singularity types of $\omega$-psh functions admits a natural pseudo-metric $d_\mathcal S$ that is complete in the presence of positive mass.…

We introduce a distance in the space of fully-supported probability measures on one-dimensional symbolic spaces. We compare this distance to the $\bar{d}$-distance and we prove that in general they are not comparable. Our projective…

Dynamical Systems · Mathematics 2015-03-04 Liliana Trejo-Valencia , Edgardo Ugalde

Let $(M, \partial M)$ be a compact 3-manifold with boundary, which admits a convex co-compact hyperbolic metric. We consider the hyperbolic metrics on $M$ such that the boundary is smooth and strictly convex. We show that the induced…

Differential Geometry · Mathematics 2015-06-26 Jean-Marc Schlenker

We describe in this paper a geometric construction in the projective p-adic plane that gives, together with a suitable notion of p-adic convexity, some open subsets of P 2 .Q p / naturally endowed with a "Hilbert" distance and a transitive…

Geometric Topology · Mathematics 2016-10-05 Antonin Guilloux

Using works of T.~Ando and L.~Gurvits, the well-known theorem of P.R.~Halmos concerning the existence of unitary dilations for contractive linear operators acting on Hilbert spaces recast as a result for $d$-tuples of contractive Hilbert…

Functional Analysis · Mathematics 2024-08-21 Douglas Farenick