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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.

168,657 papers · 148 categories

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219438656875 · Jun 202019922001200920172026
48 results for Learning-Compression (LC) algorithm

The object of the present paper is to study some properties of (LCS)n_n-manifolds whose metric is Yamabe soliton. We establish some characterization of (LCS)n_n-manifolds when the soliton becomes steady. Next we have studied some certain curvature conditions of (LCS)n_n-manifolds admitting Yamabe solitons. Lastly we…

2019-09-14abs ↗pdf ↗

A locally conformally symplectic (LCS) form is an almost symplectic form ωω such that a closed one-form θθ exists with dω=θωdω=θ\wedgeω. A fiber bundle with LCS fiber (F,ω,θ)(F, ω,θ) is called LCS if the transition maps are diffeomorphisms of FF preserving ωω (and hence θθ). In this paper, we find conditions for the total…

2015-10-09abs ↗pdf ↗

LC-SAC tackles non-stationary dynamics in reinforcement learning.

problem Degradation of deep RL methods in non-stationary environments.
method LC-SAC uses latent context encoders and contrastive loss for dynamic information capture.
result LC-SAC outperforms SAC on environments with drastic dynamics changes.

We provide some properties and characterizations of homologically UVnUV^n-maps and lcGnlc^n_G-spaces. We show that there is a parallel between recently introduced by Cauty algebraic ANRANR's and homologically lcGnlc^n_G-metric spaces, and this parallel is similar to the parallel between ordinary ANRANR's and LCnLC^n-metric spa…

2017-12-12abs ↗pdf ↗

Durhuus and Jonsson (1995) introduced the class of "locally constructible" (LC) triangulated manifolds and showed that all the LC 2- and 3-manifolds are spheres. We show here that for each d>3 some LC d-manifolds are not spheres. We prove this result by studying how to collapse products of manifolds with exactly one fa…

2009-11-24abs ↗pdf ↗

This paper compares machine learning methods for recognizing lane change intentions from vehicle trajectories.

problem Accurately detecting and predicting lane change processes in autonomous vehicles.
method Comparison of different machine learning methods on high-dimensional time series data.
result Ensemble methods reduce Type II and Type III classification errors, while LightGBM outperforms XGBoost in training efficiency.

New methods prove non-squeezing in locally conformal symplectic geometry.

problem Non-squeezing theorem in locally conformal symplectic geometry.
method Generating functions and spectral selectors for lcs Hamiltonian diffeomorphisms.
result Proves a non-squeezing theorem in S1imesR2nimesS1S^1 imes \mathbb{R}^{2n} imes S^1.

The object of the present paper is to study some types of Ricci pseudosymmetric (LCS)n(LCS)_n-manifolds whose metric is Ricci soliton. We found the conditions when Ricci soliton on concircular Ricci pseudosymmetric, projective Ricci pseudosymmetric, W3W_{3}-Ricci pseudosymmetric, conharmonic Ricci pseudosymmetric, conforma…

2017-07-12abs ↗pdf ↗

We consider almost ηη-Ricci solitons in (LCS)n(LCS)_n-manifolds satisfying certain curvature conditions. We provide a lower and an upper bound for the norm of the Ricci curvature in the gradient case, derive a Bochner-type formula for an almost ηη-Ricci soliton and state some consequences of it on an (LCS)n(LCS)_n-manifold.

2017-07-28abs ↗pdf ↗

The present paper deals with the study of totally real submanifolds and C\textit{C}-totally real submanifolds of (LCS)n(LCS)_n-manifolds with respect to Levi-Civita connection as well as quarter symmetric metric connection. It is proved that scalar curvature of C\textit{C}-totally real submanifolds of (LCS)n(LCS)_n-manifold …

2017-10-13abs ↗pdf ↗

In n-dimensional Euclidean space E^n, harmonic curvatures of a non-degenerate curve defined by Özdamar and Hacisalihoğlu [4]. In this paper, We define a new type of curves called LC helix when the angle between tangent of this curve and LC parallel vector field in space form is constant. Furthermore, several characteri…

2012-03-09abs ↗pdf ↗

We initiate here the study of Gromov-Witten theory of locally conformally symplectic manifolds or $\lcs$ manifolds, $\lcsm$'s for short, which are a natural generalization of both contact and symplectic manifolds. We find that the main new phenomenon (relative to the symplectic case) is the potential existence of holom…

2016-09-28abs ↗pdf ↗

LC-GNN improves GNNs for node classification by incorporating label consistency.

problem Limited performance of GNNs due to label consistency assumption not always holding.
method LC-GNN uses node pairs with the same label but unconnected to expand GNN's receptive field.
result LC-GNN outperforms traditional GNNs in semi-supervised node classification.

This monograph presents a class of algorithms called coordinate descent algorithms for mathematicians, statisticians, and engineers outside the field of optimization. This particular class of algorithms has recently gained popularity due to their effectiveness in solving large-scale optimization problems in machine lea…

2016-09-30abs ↗pdf ↗

New algorithm for low-rank optimal transport with improved interpretability and efficiency.

problem Quadratic scaling of optimal transport coupling matrix for massive datasets.
method Factor Relaxation with Latent Coupling (FRLC) algorithm.
result Superior performance on diverse applications including graph clustering and spatial transcriptomics.

The paper classifies submanifolds in a specific Lorentz-Minkowski space.

problem Characterizing submanifolds in a Lorentz-Minkowski space.
method Constructing a global frame field and analyzing extrinsic invariants.
result Local classification theorems for specific submanifold classes.

We present a formulation of general nonlinear LC circuits within the framework of Birkhoffian dynamical systems on manifolds. We develop a systematic procedure which allows, under rather mild non-degeneracy conditions, to write the governing equations for the mathematical description of the dynamics of an LC circuit as…

2006-09-05abs ↗pdf ↗

Study invariants of elliptic curves in LCS manifolds, leading to new phenomena in Riemann-Finsler geometry.

problem Defining and studying invariants of elliptic curves in locally conformally symplectic manifolds.
method Using JJ-holomorphic curves and Gromov-Witten theory to define and study invariants.
result Found new phenomena in Riemann-Finsler geometry and an analogue of the Weinstein conjecture.

LC-PFN predicts learning curve performance more accurately and faster than MCMC.

problem Bayesian extrapolation of learning curves is computationally expensive and overly restrictive.
method Prior-Data Fitted Neural Networks (PFNs) for approximate Bayesian inference.
result LC-PFN outperforms MCMC in accuracy and is significantly faster.

Study on deformations of LC Spin(7) instantons simplifies the problem.

problem Deformation theory of instantons on locally conformal Spin(7) manifolds.
method Reformulated linearized deformation equations using a t-parameter family of Dirac operators, demonstrating cancellation of torsion terms.
result The deformation space H^1 is governed by Levi-Civita geometry, reducing the problem to a torsion-free setting.

We investigate special lcs and twisted Hamiltonian torus actions on strict lcs manifolds and characterize them geometrically in terms of the minimal presentation. We prove a convexity theorem for the corresponding twisted moment map, establishing thus an analog of the symplectic convexity theorem of Atiyah and Guillemi…

2018-05-01abs ↗pdf ↗

Develops a Best-of-Both-Worlds algorithm for linear contextual bandits with Tsallis entropy.

problem Linear contextual bandits with i.i.d. contexts.
method Follow-The-Regularized-Leader (FTRL) with Tsallis entropy.
result Achieves $O\left(\log(T)^{\frac{1+β}{2+β}}T^{\frac{1}{2+β}} ight)$ regret under margin condition.

Model complexity is an important factor to consider when selecting among graphical models. When all variables are observed, the complexity of a model can be measured by its standard dimension, i.e. the number of independent parameters. When hidden variables are present, however, standard dimension might no longer be ap…

2012-12-12abs ↗pdf ↗

A new graph kernel uses LCS and Wasserstein distance for better graph comparisons.

problem Graph learning methods can be limited by information from distant vertices and path length constraints.
method Proposes a Graph Kernel based on LCS similarity and Wasserstein distance in a novel metric space.
result The new kernel emphasizes comparisons between similar paths and reduces information loss.

Study presentations of groups that can be generalised over continuous open group monomorphisms.

problem Investigate presentations of groups that can be generalised over continuous open group monomorphisms.
method Systematic study of presentations with generalisation properties, focusing on right-angled Artin groups (RAAGs).
result Establish high connectivity properties for universal Salvetti-type complexes and novel examples of LC groups with prescribed compactness properties.

We introduce a novel class of localized atomic environment representations, based upon the Coulomb matrix. By combining these functions with the Gaussian approximation potential approach, we present LC-GAP, a new system for generating atomic potentials through machine learning (ML). Tests on the QM7, QM7b and GDB9 biom…

2016-11-16abs ↗pdf ↗