Research
On-device research index

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.

168,657 papers · 148 categories

Trend · papers per month

141282423564 · Jun 202019922001200920172026
48 results for combinatorial computation

We describe a new method for combinatorially computing the transverse invariant in knot Floer homology. Previous work of the authors and Stone used braid diagrams to combinatorially compute knot Floer homology of braid closures. However, that approach was unable to explicitly identify the invariant of transverse links …

2017-03-20abs ↗pdf ↗

Surveying machine learning for solving graph optimization problems.

problem Solving combinatorial optimization problems on graphs requires algorithmic engineering.
method Surveying machine learning approaches for graph optimization.
result Machine learning offers new ways to solve graph optimization problems.

It is shown that for any piecewise-linear closed orientable manifold of odd dimension there exists an invariantly defined metric on the determinant line of cohomology with coefficients in an arbitrary flat bundle E over the manifold (E is not required to be unimodular). The construction of this metric (called Poincare …

1996-07-01abs ↗pdf ↗

Computing uniformization maps for surfaces has been a challenging problem and has many practical applications. In this paper, we provide a theoretically rigorous algorithm to compute such maps via combinatorial Calabi flow for vertex scaling of polyhedral metrics on surfaces, which is an analogue of the combinatorial Y…

2018-06-06abs ↗pdf ↗

Polynomial-time method solves complex combinatorial semi-bandits.

problem Optimal strategies for combinatorial semi-bandits with uncorrelated Gaussian rewards.
method Proposes a polynomial-time method to solve the Graves-Lai optimization problem for various combinatorial structures.
result First known approach to implement asymptotically optimal algorithms in polynomial time for combinatorial semi-bandits.

ML4CO uses machine learning to improve combinatorial optimization solvers.

problem Solving combinatorial problems in practice often involves related data distributions.
method Replacing heuristic components with machine learning approaches.
result Improved state-of-the-art combinatorial optimization solvers.

Via a computer search, Altshuler and Steinberg found that there are 1296 +1 combinatorial 3-manifolds on nine vertices, of which only one is non-sphere. This exceptional 3-manifold K93K^{3}_{9} triangulates the twisted S2S^{2}-bundle over S1S^{1}. It was first constructed by Walkup. In this paper, we present a computer-…

2006-10-27abs ↗pdf ↗

We present a braid-theoretic approach to combinatorially computing knot Floer homology. To a knot or link K, which is braided about the standard disk open book decomposition for (S^3,ξ_std), we associate a corresponding multi-pointed nice Heegaard diagram. We then describe an explicit algorithm for computing the associ…

2013-12-19abs ↗pdf ↗

Transformers capture combinatorial tasks with bounded error and logarithmic sample dependence.

problem Capturing complex combinatorial tasks with bounded error and sample efficiency.
method Formal definition of algorithmic capture, empirical analysis of infinite-width transformers, upper bounds on computational complexity.
result Transformers exhibit an inductive bias favoring simpler algorithmic procedures over higher complexity ones.

Derives Khovanov homology for 2-strand braids using combinatorial relations.

problem Computational difficulties in Khovanov-Rozansky homology computations.
method Combining state-sum descriptions and combinatorial relations to simplify computations.
result Computation of Khovanov-Rozansky invariant for 2-strand braid links confirmed.

Graph neural networks improve combinatorial optimization by leveraging inductive bias.

problem Combinatorial optimization problems often arise from related data distributions.
method Using graph neural networks to enhance or solve combinatorial tasks.
result Graph neural networks effectively encode combinatorial and relational input.

Efficient algorithms for planning in cooperative multi-agent reinforcement learning with combinatorial action spaces.

problem Planning in cooperative multi-agent reinforcement learning with a combinatorial action space.
method Efficient algorithms using local access to a simulator and linear function approximation, with improvements for additive feature decomposition and kernelized settings.
result Polynomial compute and query complexity in relevant problem parameters.

Unified framework for geometric computation of minimum-area homotopy.

problem Computing the minimum homotopy area of a closed curve.
method Unified combinatorial word approach combining geometric and algebraic methods.
result Unified geometric proof and constructive algorithm for minimum area homotopy.

Combinatorial approach to compute satellite knot invariants using graph theory.

problem Computing knot invariants for satellite knots using bordered Heegaard Floer homology.
method Construct weighted AA_\infty-modules using decorated planar graphs and prove their isomorphism.
result Combinatorial proof of AA_\infty structure relations for the constructed modules.

Generalizes cohomology ring result for combinatorial line arrangements.

problem Cohomology ring of boundary manifold for combinatorial line arrangements.
method Introduced boundary manifold, constructed homology cycles, computed cohomology ring.
result Cohomology ring of boundary manifold is isomorphic to double of Orlik-Solomon algebra.

This paper tackles combinatorial optimization under uncertainty with limited feedback.

problem Tackling combinatorial optimization problems with uncertain or unknown parameters.
method Review of techniques for combinatorial pure exploration with limited bandit feedback.
result Introduction of methods for combinatorial optimization under uncertainty with limited observation.

A few years ago Kramer and Laubenbacher introduced a discrete notion of homotopy for simplicial complexes. In this paper, we compute the discrete fundamental group of the order complex of the Boolean lattice. As it turns out, it is equivalent to computing the discrete homotopy group of the 1-skeleton of the permutahedr…

2007-11-06abs ↗pdf ↗

This paper is a short introduction to the combinatorial version of tangle Floer homology defined in "Combinatorial tangle Floer homology". There are two equivalent definitions---one in terms of strand diagrams, and one in terms of bordered grid diagrams. We present both, discuss the correspondence, and carry out some e…

2016-04-28abs ↗pdf ↗

Researchers compute spin structures on hyperelliptic curves using braid groups.

problem Understanding spin structures on hyperelliptic curves of genus g.
method Action of the Artin braid group B_{2g+2} on spin structures, combinatorial computation of orbits and isotropy groups.
result Purely combinatorial computation of S_{2g+2}-orbits and isotropy groups of spin structures.

In this paper we provide a new Bennequin-type inequality for the Rasmussen- Beliakova-Wehrli invariant, featuring the numerical transverse braid invariants (the c-invariants) introduced by the author. From the Bennequin type-inequality, and a combinatorial bound on the value of the c-invariants, we deduce a new computa…

2017-07-11abs ↗pdf ↗

We develop the intersection theory at relative chain-cochain level, and apply it along with the use of Seifert disks for an oriented link to give a combinatorial algorithm to compute Massey's higher order linking numbers. It is subtle to compute higher-order linking numbers, and it has been a folklore to use the inters…

2014-07-18abs ↗pdf ↗

Simplified computation of SFT invariants for Legendrian links.

problem Computing SFT invariants for Legendrian links is combinatorially intractable.
method Left-right-simplification of Legendrian links and analysis of holomorphic maps.
result SFT invariants of Legendrian links are combinatorially computable using disks with ≤ 2 positive punctures.

This paper gives a combinatorial description of spin and spin^c-structures on triangulated PL-manifolds of arbitrary dimension. These formulations of spin and spin^c-structures are established primarily for the purpose of aiding in computations. The novelty of the approach is we rely heavily on the naturality of binary…

2013-06-20abs ↗pdf ↗

CMOSS algorithm reduces regret in combinatorial semi-bandits with efficient computation.

problem Efficiently solving combinatorial semi-bandit problems with minimal regret.
method CMOSS algorithm achieves optimal regret bounds with minimal computational overhead.
result CMOSS achieves optimal regret bounds with minimal computational overhead.

In this article we associate a combinatorial differential graded algebra to a cubic planar graph G. This algebra is defined combinatorially by counting binary sequences, which we introduce, and several explicit computations are provided. In addition, in the appendix by K. Sackel the F(q)-rational points of its graded a…

2017-05-02abs ↗pdf ↗

This paper focuses on Bayesian Optimization (BO) for objectives on combinatorial search spaces, including ordinal and categorical variables. Despite the abundance of potential applications of Combinatorial BO, including chipset configuration search and neural architecture search, only a handful of methods have been pro…

2019-02-01abs ↗pdf ↗

The embedded contact homology (ECH) of a 3-manifold with a contact form is a variant of Eliashberg-Givental-Hofer's symplectic field theory, which counts certain embedded J-holomorphic curves in the symplectization. We show that the ECH of T^3 is computed by a combinatorial chain complex which is generated by labeled c…

2004-10-04abs ↗pdf ↗

This paper investigates stochastic and adversarial combinatorial multi-armed bandit problems. In the stochastic setting under semi-bandit feedback, we derive a problem-specific regret lower bound, and discuss its scaling with the dimension of the decision space. We propose ESCB, an algorithm that efficiently exploits t…

2015-02-11abs ↗pdf ↗

This paper introduces the combinatorial Boolean model (CBM), which is defined as the class of linear combinations of conjunctions of Boolean attributes. This paper addresses the issue of learning CBM from labeled data. CBM is of high knowledge interpretability but naïve learning of it requires exponentially large compu…

2017-11-07abs ↗pdf ↗

The paper calculates the motive of a specific knot's character variety.

problem Computing the motive of the character variety of torus knots representations.
method Introduced a stratification of the variety based on a canonical filtration, reducing the motive computation to a combinatorial problem.
result Computed the motive of the character variety for torus knots.