arXiv research

The paper studies diversification preferences in various choice models.

Researchers analyze sign choices for O-planes in orientifolds, proving stabilisation and deriving topological constraints.

Paper uses stats to predict treatment choice based on illness probability.

This is the first paper in a series which proposes and develops the polyfold Fredholm structure--Kuranishi structure correspondence, identifying these two abstract perturbative structures which are indispensable for constructing and understanding symplectic invariants in the most general settings. In this paper, I pres…

PsychFM predicts individual gambling choices using psychological and machine learning models.

RLHF performs well despite violating social choice theory axioms.

Study presents MMC model for better fitting multiple choice data.

Empirical model tackles decision problems without specifying states of the world.

Accelerates deep neural network training with a generalized BN approach.

Abstract: A possibilistic portfolio choice problem using expected utility operators.

Optimal portfolio yields a digital option payoff.

New theory couples Chern-Simons to matter, topological.

Estimates multi-attribute choice preferences using private signals and matrix factorization.

Abstract: Almost Kähler Hodge numbers vary with metric choices.

In anomaly-free quantum field theories the integrand in the bosonic functional integral--the exponential of the effective action after integrating out fermions--is often defined only up to a phase without an additional choice. We term this choice ``setting the quantum integrand''. In the low-energy approximation to M-t…

Memory affects how we perceive time and make decisions about the future.

Study binary choice with asymmetric loss, offering simple solutions.

Graph neural networks improve residential location choice predictions.

AI makes better decisions, leading to more rational markets.

Many investment models in discrete or continuous-time settings boil down to maximizing an objective of the quantile function of the decision variable. This quantile optimization problem is known as the quantile formulation of the original investment problem. Under certain monotonicity assumptions, several schemes to so…

Study finds managers' tenure and education influence their choice between in-court and out-of-court restructuring.

Improved semialgebraic choices with linear complexity.

New equations for geodesics in sub-Riemannian geometry.

Introduces a new relation between BF theory and gravity.

Signature Isolation Forest removes constraints from FIF by using rough path theory's signature transform.

In this paper, we develop differential twisted K-theory and define a twisted Chern character on twisted K-theory which depends on a choice of connection and curving on the twisting gerbe. We also establish the general Riemann-Roch theorem in twisted K-theory and find some applications in the study of twisted K-theory o…

aMCL uses annealing to improve hypothesis diversity in ambiguous tasks.

Study competition in OTC CDS market through CCP and interdealer choice models.

Alt-GNNs improve travel mode choice modeling by integrating graph neural networks with GEV models.

We investigate how the choice of decision makers can be varied under the presence of risk and uncertainty. Our analysis is based on the approach we have previously applied to individual decision makers, which we now generalize to the case of decision makers that are members of a society. The approach employs the mathem…

New invariant for foliated manifolds connects algebraic K-theory and differential geometry.

A new method reduces high-dimensional state space for dynamic choice models.

Analyzes new economic paradigm for non-independent consumer choices.

Unlike the case of surfaces of topologically finite type, there are several different Teichmüller spaces that are associated to a surface of topological infinite type. These Teichmüller spaces first depend (set-theoretically) on whether we work in the hyperbolic category or in the conformal category. They also depend, …

Diffusion models adapt to low-dimensional data regardless of coefficient choices.

We develop a Bayesian nonparametric extension of the popular Plackett-Luce choice model that can handle an infinite number of choice items. Our framework is based on the theory of random atomic measures, with the prior specified by a gamma process. We derive a posterior characterization and a simple and effective Gibbs…

Unified approach to aggregating models and preferences.

New methods show quasinormal modes can be defined using various stationary Killing vectors.

In this article, we address the question of how non-knowledge about future events that influence economic agents' decisions in choice settings has been formally represented in economic theory up to date. To position our discussion within the ongoing debate on uncertainty, we provide a brief review of historical develop…

Presented spherical symmetric teleparallel geometry frames and field equations.

New approach identifies hidden degrees of freedom in M-theory.

Study shows humans make decisions under time constraints, matching a theoretical model.

The study examines how choice of risk measure and volatility estimator affects procyclicality.

New model captures intransitive preferences without concave likelihood.

Tutorials on preference learning with Gaussian Processes.

A new model uses neural networks for consistent discrete choice analysis.

The paper classifies extensions of Yang-Mills-type theories, proving maximality and universality are dense properties.

Quantum groups are realized via surface operator junctions in 4d theory.