arXiv research

The article improves prediction by aggregating Kalman recursions online.

Recursive experts improve dynamic sequential learning systems.

In regression tasks the distribution of the data is often too complex to be fitted by a single model. In contrast, partition-based models are developed where data is divided and fitted by local models. These models partition the input space and do not leverage the input-output dependency of multimodal-distributed data,…

The paper presents a novel approach to multi-output regression using probabilistic circuits.

PCGS-TF uses a Transformer to adaptively control expert switching in non-stationary environments.

Since the machine learning techniques are improving rapidly, it has been shown that the image recognition techniques in deep neural networks can be used to detect jet substructure. And it turns out that deep neural networks can match or outperform traditional approach of expert features. However, there are disadvantage…

To scale Gaussian processes (GPs) to large data sets we introduce the robust Bayesian Committee Machine (rBCM), a practical and scalable product-of-experts model for large-scale distributed GP regression. Unlike state-of-the-art sparse GP approximations, the rBCM is conceptually simple and does not rely on inducing or …

Recursive neural networks have widely been used by researchers to handle applications with recursively or hierarchically structured data. However, embedded control flow deep learning frameworks such as TensorFlow, Theano, Caffe2, and MXNet fail to efficiently represent and execute such neural networks, due to lack of s…

Paper defines Farey Recursive Functions and explores their properties.

The paper explores generalizations of Mirzakhani's recursion and computes volumes for physical gravity models.

Fuzzy cognitive maps (FCMs) model feedback causal relations in interwoven webs of causality and policy variables. FCMs are fuzzy signed directed graphs that allow degrees of causal influence and event occurrence. Such causal models can simulate a wide range of policy scenarios and decision processes. Their directed loo…

Tab-TRM uses recursive model for insurance pricing on tabular data.

New recursion formula for non-orientable surfaces resolves divergences.

Harer and Zagier proved a recursion to enumerate gluings of a $2d$-gon that result in an orientable genus $g$ surface, in their work on Euler characteristics of moduli spaces of curves. Analogous results have been discovered for other enumerative problems, so it is natural to pose the following question: how large is t…

This paper studies recursive ensembles driven by Fibonacci updates, improving learning dynamics.

Solves a recursion for Gromov-Witten invariants of the unknot.

New recursion found for hyperbolic sphere volumes.

This work generalizes a formula linking Seiberg-Witten prepotential and topological recursion.

Multi-expert L2D underfits more severely, requiring new methods.

LASER compresses recursive model activations by exploiting their low-dimensional structure.

We describe a method for recursively calculating Gromov-Witten invariants of all blowups of the projective plane. This recursive formula is different from the recursive formulas due to Göttsche and Pandharipande in the zero genus case, and Caporaso and Harris in the case of no blowups. We use tropical curves and a recu…

Topological recursion recovers a specific partition function for colored knots.

We derive the Do and Norbury recursion formula for the one-loop mean of an irregular spectral curve from a variant of replica method by Brezín and Hikami. We express this recursion in special times in which all terms $W_1^{(g)}$ of the genus expansion of the one-loop mean are polynomials. We find a generalization of th…

This paper concerns the recursive utility maximization problem under partial information. We first transform our problem under partial information into the one under full information. When the generator of the recursive utility is concave, we adopt the variational formulation of the recursive utility which leads to a s…

We derive a recursion relation for hyperbolic string vertices and apply it to string field theory.

Benchmarking recursive collapse claims with a new framework under false-positive control.

SRRM improves recursive transport surrogates in the small-discrepancy regime.

ERM uses energy-based selection to improve recursive reasoning.

TENP prunes experts and neurons in Mixture-of-Experts models for efficient deployment.

A method to select important experts for Gaussian processes to balance computational efficiency and uncertainty quantification.

Study uses reinforcement learning to optimize portfolios under recursive utility.

The paper studies risk-sensitive MDPs with recursive risk measures.

New recursive relation found for a specific torus knot.

We propose a general theory for constructing functorial assignments $Σ\longmapsto Ω_Σ \in E(Σ)$ for a large class of functors $E$ from a certain category of bordered surfaces to a suitable target category of topological vector spaces. The construction proceeds by successive excisions of homotopy classes of embedded pai…

Recursive training of generative models can lead to model collapse, and the recursion converges to a unique limiting distribution.

Paper presents novel online MTL methods using WRLS and OSLSSVR.

We study topological recursion on the irregular spectral curve $xy^2-xy+1=0$, which produces a weighted count of dessins d'enfant. This analysis is then applied to topological recursion on the spectral curve $xy^2=1$, which takes the place of the Airy curve $x=y^2$ to describe asymptotic behaviour of enumerative proble…

We consider the problem of contextual bandits with stochastic experts, which is a variation of the traditional stochastic contextual bandit with experts problem. In our problem setting, we assume access to a class of stochastic experts, where each expert is a conditional distribution over the arms given a context. We p…

We give an overview of the proof for Mirzakhani's volume recursion for the Weil-Petersson volumes of the moduli spaces of genus $g$ hyperbolic surfaces with $n$ labeled geodesic boundary components, and her application of this recursion to Witten's conjecture and the study of simple geodesic length spectrum growth rate…

New formula simplifies interior polynomial calculation.

Improved time series forecasting with expert loss integration.

We extend topological recursion to twisted Higgs bundles with singularities.

HS-MoE selects sparse experts using adaptive priors and data-adaptive gating.

NAMEx merges experts using Nash bargaining for improved performance.

Expert augmentation improves hybrid model generalization.

New method calibrates Gaussian product experts for better predictions.

Meta-algorithm optimizes nonstochastic bandits with infinitely many experts.

Theoretical study on AI models' resilience to data contamination during recursive training.