New mirror maps improve PMD performance in reinforcement learning.
arXiv research
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We explore the intrinsic geometry of tangent bundles and properties of the mirror map.
New method improves generative modeling on convex domains using regularized mirror maps and Student-t priors.
We propose localization techniques for computing Gromov-Witten invariants of maps from Riemann surfaces with boundaries into a Calabi-Yau, with the boundaries mapped to a Lagrangian submanifold. The computations can be expressed in terms of Gromov-Witten invariants of one-pointed maps. In genus zero, an equivariant ver…
In this paper we consider online mirror descent (OMD) algorithms, a class of scalable online learning algorithms exploiting data geometric structures through mirror maps. Necessary and sufficient conditions are presented in terms of the step size sequence for the convergence of an OMD algorithm with respe…
We study mirror symmetry of type II strings on manifolds with the exceptional holonomy groups and Spin(7). Our central result is a construction of mirrors of Spin(7) manifolds realized as generalized connected sums. In parallel to twisted connected sum manifolds, mirrors of such Spin(7) manifolds can be fou…
We revisit our construction of mirror symmetries for compactifications of Type II superstrings on twisted connected sum manifolds. For a given manifold, we discuss evidence for the existence of mirror symmetries of two kinds: one is an autoequivalence for a given Type II superstring on a mirror pair of $G_2…
Study special complexified Kähler forms in mirror symmetry.
We study SYZ mirror symmetry in the context of non-Kaehler Calabi-Yau manifolds. In particular, we study the six-dimensional Type II supersymmetric systems with Ramond-Ramond fluxes, and generalize them to higher dimensions. We show that Fourier-Mukai transform provides the mirror map between these Type IIA and…
The MAP estimate's log-likelihood sub-optimality is hard to bound in general.
In this short note we prove that in the case of elliptic curves, the isomorphism of generalized complex structure between -dual manifolds described by Cavalcanti-Gualtieri coincides with the mirror map for elliptic curves described by Polishchuk and Zaslow.
We revisit the backgrounds of type IIB on manifolds with -structure and discuss two sets of solutions arising from internal geometries that are complex and symplectic respectively. Both can be realized in terms of generalized complex geometry. We identify a map which relates the complex and symplectic supersymme…
New model generates data on constrained sets without losing tractability.
Matrix SMD converges to unique solution minimizing Bregman divergence.
Mirror descent algorithm recovers low-rank matrices in matrix sensing.
Via considerations of symplectic reduction, monodromy, mirror symmetry and Chern-Simons functionals, a conjecture is proposed on the existence of special Lagrangians in the hamiltonian deformation class of a given Lagrangian submanifold of a Calabi-Yau manifold. It involves a stability condition for graded Lagrangians,…
Continuous-time mirror descent solves sparse phase retrieval efficiently.
Stochastic mirror descent improves performance on ensemble models.
For each sphere with three orbifold points, we construct an algorithm to compute the open Gromov-Witten potential, which serves as the quantum-corrected Landau-Ginzburg mirror and is an infinite series in general. This gives the first class of general-type geometries whose full potentials can be computed. As a conseque…
We describe for any Riemannian manifold a certain infinitesimal neighbourhood of the diagonal. Semi-conformal maps are analyzed as those that preserve such neighbourhoods; harmonic maps are analyzed as those that preserve mirror image formation for pairs of points in such neighbourhoods.
Paper studies early-stopped mirror descent for noisy sparse phase retrieval.
New samplers minimize KL divergence for constrained and non-Euclidean geometries.
Policy mirror ascent achieves Nash equilibrium in mean field games without a population generative model.
We present a new perspective on the celebrated Sinkhorn algorithm by showing that is a special case of incremental/stochastic mirror descent. In order to see this, one should simply plug Kullback-Leibler divergence in both mirror map and the objective function. Since the problem has unbounded domain, the objective func…
Recently there has been a surge of interest in understanding implicit regularization properties of iterative gradient-based optimization algorithms. In this paper, we study the statistical guarantees on the excess risk achieved by early-stopped unconstrained mirror descent algorithms applied to the unregularized empiri…
Study shows Stochastic Mirror Descent optimizes convex problems with infinite noise variance.
D-branes on noncommutative spaces mimic string theory, offering new insights into mirror symmetry.
This work improves understanding of symmetrizing Bregman divergences on positive definite matrices.
Let be a compact toric Kähler manifold with nef. Let be a regular fiber of the moment map of the Hamiltonian torus action on . Fukaya-Oh-Ohta-Ono defined open Gromov-Witten (GW) invariants of as virtual counts of holomorphic discs with Lagrangian boundary condition . We prove a formula…
The paper explores non-Kähler SYZ mirrors for solvmanifolds, proving cohomological properties and constructing new mirror pairs.
Recently, at least 50 million of novel examples of compact holonomy manifolds have been constructed as twisted connected sums of asymptotically cylindrical Calabi-Yau threefolds. The purpose of this paper is to study mirror symmetry for compactifications of Type II superstrings in this context. We focus on …
New MD algorithms using Tempesta logarithms for machine learning.
We propose and study the following Mirror Principle: certain sequences of multiplicative equivariant characteristic classes on Kontsevich's stable map moduli spaces can be computed in terms of certain hypergeometric type classes. As applications, we compute the equivariant Euler classes of obstruction bundles induced b…
New method improves optimization algorithms without Lipschitz smoothness.
Quantizing large Neural Networks (NN) while maintaining the performance is highly desirable for resource-limited devices due to reduced memory and time complexity. It is usually formulated as a constrained optimization problem and optimized via a modified version of gradient descent. In this work, by interpreting the c…
Given a six-dimensional symplectic manifold , a nondegenerate, co-closed four-form introduces a dual symplectic structure independent of via the Hodge duality . We show that the doubling of symplectic structures due to the Hodge duality results in two independent classes of nonc…
Novel framework for policy optimization with general parameterization and linear convergence.
We introduce a new framework for optimal transport using Schatten-p regularization to recover low-rank structures.
Classifies symmetries of non-flat 3-webs around a point.
We propose a new approach to the Mirror Symmetry Conjecture in a form suitable to possibly non-Kähler compact complex manifolds whose canonical bundle is trivial. We apply our methods by proving that the Iwasawa manifold , a well-known non-Kähler compact complex manifold of dimension , is its own mirror dual to t…
Let X_n be a cycle of n projective lines, and T_n a symplectic torus with n punctures. In this paper we review results appeared in arXiv:1103.2462 and in arXiv:1109.6615, which establish a version of homological mirror symmetry relating X_n and T_n, and define on D^b(Coh(X_n)) an action of the pure mapping class group …
Maps on Sasakian manifolds limit to sub-Riemannian distance bounds.
Mirror flows converge to a limiting flow with a convex potential.
This paper extends mirror descent to Banach spaces with reproducing kernels.
Let be a cycle of projective lines, and $\bT_n$ a symplectic torus with punctures. Using the theory of spherical twists introduced by Seidel and Thomas (2001), I will define an action of the pure mapping class group of $\bT_n$ on . The motivation comes from homological mirror symmetry for d…
We study the deformed Hermitian-Yang-Mills (dHYM) equation, which is mirror to the special Lagrangian equation, from the variational point of view via an infinite dimensional GIT problem mirror to Thomas' GIT picture for special Lagrangians. This gives rise to infinite dimensional manifold mirror to Solom…
We describe mirror symmetry on higher dimensional tori, paying special attention to the behaviour of D-branes under mirror symmetry. To find the mirror D-branes the description of mirror symmetry on D-branes due to Ooguri, Oz en Yin is used. This method allows us to deal with the coisotropic D-branes recently introduce…
Derives Mirror Descent from gradient flow on a Riemannian manifold.