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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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1122 · Jun 201119922001200920172026
33 results for NEAT

NEAT algorithm optimizes stock trading with reduced risk.

problem Maximizing earnings while minimizing risk in stock trading.
method Applied NEAT algorithm to stock trading with multiple technical indicators, using progressive training data and a multi-objective fitness function.
result NEAT model achieved similar returns to Buy & Hold but with lower risk and stability.

Study of subgroups in complex hyperbolic lattice triangle groups.

problem Characterizing subgroups of finite index in complex hyperbolic lattice triangle groups.
method Explicit construction and analysis of subgroups, examination of their properties.
result Identification of neat subgroups, subgroups with positive first Betti number, and homomorphisms onto non-Abelian free groups.

The paper establishes a correspondence between normal distributions and neat foliations on manifolds with boundary.

problem Understanding normal distributions on manifolds with boundary.
method Develops a theory analogous to Stefan and Sussmann's for integrable distributions, focusing on neat foliations.
result A one-to-one correspondence between neatly integrable normal distributions and neat foliations by manifolds with boundary.

Proves a theorem for normal distributions on manifolds with boundary.

problem Normal distributions on manifolds with boundary require a new approach to integration.
method Introduces neat integral manifolds with boundary and conditions for integrability.
result Conditions for integrability expressed in terms of adapted collars and integrability on interior and boundary.

New method for classifying disk embeddings in 4-manifolds.

problem Classifying smooth isotopy classes of neat embeddings of 2-disks in 4-manifolds.
method Using an invariant going back to Dax, constructing a group structure, and relating to mapping class groups.
result The group structure on isotopy classes of neat embeddings is usually not abelian or finitely generated.

We introduce and begin the study of new knot energies defined on knot diagrams. Physically, they model the internal energy of thin metallic solid tori squeezed between two parallel planes. Thus the knots considered can perform the second and third Reidemeister moves, but not the first one. The energy functionals consid…

2011-06-17abs ↗pdf ↗

In this paper, we prove an extended version of the Minkowski Inequality, holding for any smooth bounded set ΩRnΩ\subset \mathbb R^n, n3n\geq 3. Our proof relies on the discovery of effective monotonicity formulas holding along the level set flow of the pp-capacitary potentials associated with ΩΩ, for every pp suffici…

2019-06-02abs ↗pdf ↗

Let GG be an almost simple, simply connected algebraic group defined over a number field kk, and let SS be a finite set of places of kk including all infinite places. Let XX be the product over vSv\in S of the symmetric spaces associated to G(kv)G(k_v), when vv is an infinite place, and the Bruhat-Tits buildings ass…

2011-06-23abs ↗pdf ↗

Continuous word representation (aka word embedding) is a basic building block in many neural network-based models used in natural language processing tasks. Although it is widely accepted that words with similar semantics should be close to each other in the embedding space, we find that word embeddings learned in seve…

2018-09-18abs ↗pdf ↗

Develops unisolvent weights for Nédélec second family finite elements in 2D.

problem Finding efficient degrees of freedom for Nédélec second family finite elements.
method Uses techniques of homological algebra to obtain degrees of freedom for differential forms.
result Provides a family of unisolvent and minimal physical degrees of freedom for Nédélec second family finite elements.

The study finds a special type of smooth function on connected sums of manifolds.

problem Finding smooth functions that are Morse on preimages of non-extrema values.
method Investigates internally Morse (I-Morse) and neat with respect to Reeb graph (N-Reeb) functions.
result Constructs an IN-Morse-Reeb function on a connected sum of given manifolds.

The paper shows how certain circle families in S1imesD3S^1 imes D^3 relate to sphere families in S2imesD2S^2 imes D^2 and induces nontrivial barbell diffeomorphisms.

problem Understanding the relationship between circle and sphere families in specific 3-manifolds.
method Analyzing the fundamental groups and ambient extensions of circle and sphere families.
result Induces nontrivial barbell diffeomorphisms of S1imesS2imesIS^1 imes S^2 imes I.

This note provides a neat and enjoyable expansion and application of the magnificent Ordentlich-Cover theory of "universal portfolios." I generalize Cover's benchmark of the best constant-rebalanced portfolio (or 1-linear trading strategy) in hindsight by considering the best bilinear trading strategy determined in hin…

2019-07-23abs ↗pdf ↗

We solve a portfolio selection problem with four objectives, finding convex scalarizations for part of the Pareto front.

problem Portfolio selection with four objectives: mean, variance, skewness, and kurtosis.
method Linearly scalarize MVSK objectives into a convex polynomial FλF_λ over the probability simplex, compute optimizers for each λλ.
result Identify a set of hyper-parameters for which the scalarization is convex, allowing computation of part of the Pareto front.

This paper is on the normal approximation of singular subspaces when the noise matrix has i.i.d. entries. Our contributions are three-fold. First, we derive an explicit representation formula of the empirical spectral projectors. The formula is neat and holds for deterministic matrix perturbations. Second, we calculate…

2019-01-02abs ↗pdf ↗

Improved neural network capacity analysis using simplified RDT.

problem Analyzing the memorization capabilities of sign perceptron neural networks.
method Developed a simplified, partially lifted Random Duality Theory (fl RDT) approach.
result Concrete capacity bounds universally improve over previous best known ones.

ASkotch solves large-scale KRR faster and better than existing methods.

problem Challenges in scaling full Kernel Ridge Regression (KRR) to large datasets.
method ASkotch: A scalable, accelerated, iterative method for full KRR.
result ASkotch provides better solutions faster than state-of-the-art solvers for full and inducing points KRR.

Study tackles causal effects of close contact on MRSA infections from entangled treatment data.

problem Estimating causal effects of close contact on MRSA infections from observational data with entangled treatments.
method NEAT method that models treatment assignment mechanism and mitigates confounding biases.
result NEAT method effectively estimates causal effects from entangled treatment data.