We introduce a globally-convergent algorithm for optimizing the tree-reweighted (TRW) variational objective over the marginal polytope. The algorithm is based on the conditional gradient method (Frank-Wolfe) and moves pseudomarginals within the marginal polytope through repeated maximum a posteriori (MAP) calls. This m…
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LP-SparseMAP relaxes SparseMAP for more complex structures.
We introduce a novel mechanism to tighten the local polytope relaxation for MAP inference in Markov random fields with low state space variables. We consider a surjection of the variables to a set of hyper-variables and apply the local polytope relaxation over these hyper-variables. The state space of each individual h…
We consider clustering problems where the goal is to determine an optimal partition of a given point set in Euclidean space in terms of a collection of affine subspaces. While there is vast literature on heuristics for this kind of problem, such approaches are known to be susceptible to poor initializations and getting…
This article announces the completion of the classification of rank 4 locally projective polytopes and their quotients. There are seventeen universal locally projective polytopes (nine nondegenerate). Amongst their 441 quotients are a further four (nonuniversal) regular polytopes, and 152 nonregular but section regular…
We consider the problem of learning the structure of undirected graphical models with bounded treewidth, within the maximum likelihood framework. This is an NP-hard problem and most approaches consider local search techniques. In this paper, we pose it as a combinatorial optimization problem, which is then relaxed to a…
Locally rigid groups from 5-polytopes with Fuchsian ends.
Many matching, tracking, sorting, and ranking problems require probabilistic reasoning about possible permutations, a set that grows factorially with dimension. Combinatorial optimization algorithms may enable efficient point estimation, but fully Bayesian inference poses a severe challenge in this high-dimensional, di…
We consider a fundamental integer programming (IP) model for cost-benefit analysis flood protection through dike building in the Netherlands, due to Verweij and Zwaneveld. Experimental analysis with data for the Ijsselmeer lead to integral optimal solution of the linear programming relaxation of the IP model. This natu…
RbX generates local explanations for black-box models using greedy polytope construction.
Unified approach to verify NN properties using ReLU's unique polytope structure.
Novel singularity models for 4D harmonic forms and spinors from polytopes.
We introduce a numerical isomorphism invariant p(T) for any triangulation T of S^3. Although its definition is purely topological (inspired by the bridge number of knots), p(T) reflects the geometric properties of T. Specifically, if T is polytopal or shellable then p(T) is `small' in the sense that we obtain a linear …
Variable selection is a fundamental task in statistical data analysis. Sparsity-inducing regularization methods are a popular class of methods that simultaneously perform variable selection and model estimation. The central problem is a quadratic optimization problem with an l0-norm penalty. Exactly enforcing the l0-no…
Constructs combinatorial 2D topological field theories from cyclic A-infinity algebras.
PEREGRiNN verifies safety of ReLU NNs by penalizing relaxation in a greedy manner.
New algorithms learn graph structures privately, matching best results.
We call complex quasifold of dimension k a space that is locally isomorphic to the quotient of an open subset of the space C^k by the holomorphic action of a discrete group; the analogue of a complex torus in this setting is called a complex quasitorus. We associate to each simple polytope, rational or not, a family of…
A new method learns DAGs from Gaussian data without verifying acyclicity.
The study broadens the concept of cyclic polytopes to Veronese polytopes.
A small cover was introduced by Davis and Januszkiewicz as an -dimensional closed manifold with a locally standard -action such that its orbit space is a simple convex polytope. There exist a one-to-one correspondence between small covers and -colored polytopes. In this paper we study a construction…
New method relaxes spatial invariance in locally connected layers, improving accuracy.
The paper studies deformation spaces of Coxeter truncation polytopes.
Neural networks approximate unit spheres as polytopes.
The study classifies all compact hyperbolic polytopes with eight facets.
In this article we consider a generalization of manifolds and orbifolds which we call quasifolds; quasifolds of dimension k are locally isomorphic to the quotient of R^k by the action of a discrete group - tipically they are not Hausdorff topological spaces. The analogue of a torus in this geometry is a quasitorus. We …
We present a semi-supervised learning algorithm for learning discrete factor analysis models with arbitrary structure on the latent variables. Our algorithm assumes that every latent variable has an "anchor", an observed variable with only that latent variable as its parent. Given such anchors, we show that it is possi…
Proves stability in Weyl polytopes using optimal transport.
Faces of quasi-arithmetic Coxeter polytopes are also quasi-arithmetic.
Given a finite collection P of convex n-polytopes in RP^n (n>1), we consider a real projective manifold M which is obtained by gluing together the polytopes in P along their facets in such a way that the union of any two adjacent polytopes sharing a common facet is convex. We prove that the real projective structure on…
The study classifies all compact 5D polytopes with 9 facets.
We propose a DC proximal Newton algorithm for solving nonconvex regularized sparse learning problems in high dimensions. Our proposed algorithm integrates the proximal Newton algorithm with multi-stage convex relaxation based on the difference of convex (DC) programming, and enjoys both strong computational and statist…
Smooth deformation space of Coxeter polytopes proven for orderable orbifolds.
Given a lattice L of R^n, a polytope D is called a Delaunay polytope in L if the set of its vertices is S\cap L where S is a sphere having no lattice points in its interior. D is called perfect if the only ellipsoid in R^n that contains S\cap L is exactly S. For a vector v of the Leech lattice Λ_{24} we define Λ_{24}(v…
The study classifies 331 specific 4D polytopes with 7 facets.
Contact manifolds' momentum polytopes are convex.
Smooth approximations bound dihedral angles of convex polytopes.
Polytopic Matrix Factorization models data as latent vectors from a polytope, maximizing determinant for identifiability.
The article studies factorization structures in geometry and their applications to cones and polytopes.
Examines nonrational polytopes and fans in toric geometry.
New methods classify hyperbolic polytopes with up to 40 facets.
We apply a local differential geometric framework from Kähler toric geometry to (re)construct Calabi's extremal Kähler metrics on $\bbC\bbP^n$ blown-up at a point from data on the moment polytope.
The paper explains how to parameterize facets of moment polytopes in real symplectic geometry.
We introduce two operations named biflip and puzzle-move on simple polytopes producing polytopes with diffeomorphic moment-angle manifolds.
Proves necessity of at least log2(n) layers to compute maximum of n numbers.
Unified cosmological and Einstein polytope theories.
By studying -combinations of strongly isomorphic polytopes, we prove the equivalence of the -Brunn-Minkowski inequality conjectured by Böröczky, Lutwak, Yang and Zhang to the local version of the inequality studied by Colesanti, Livshyts, and Marsiglietti and by Kolesnikov and Milman, settling a conjecture of…
The study of symmetries in manifolds derived from colored polytopes.