output
19992026
most citedSparsistency and rates of convergence in large covariance matrix estimation

421 citations

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10 papers · 1 filter

cs.MA2026

Learning to Incentivise: Using Reinforcement Learning for Sustainable Urban Mobility

Germán Pardo-González, Shaghayegh Vosough, Katerina Papadaki +1

Traffic management has traditionally focused on toll-based and road pricing solutions. However, road pricing often raises concerns about accessibility and public dissatisfaction, l…

cs.CY2026

Large-Scale Qualitative Research with AI: Infrastructure, Management and Operation of the Socioscope Data Pipeline

Saadi Lahlou, Juan Pablo Caicedo, Shriya Sekhsaria +3

The Socioscope project is a pioneering effort in Large-Scale Qualitative Research (LSQR) collecting comparable, open-ended, multimedia field data on hundreds of cases and using AI…

cs.PL2026

GLP: A Grassroots, Multiagent, Concurrent, Logic Programming Language for AI

Ehud Shapiro

A grassroots platform is a multiagent distributed system in which multiple independent instances can form and operate independently of each other and of any global resource, yet ma…

math.PR2026

Note on the Weak Convergence of Hyperplane -Quantile Functionals and Their Continuity in the Skorokhod J1 Topology

Pietro Maria Sparago

The -quantile of a stochastic process has been introduced in Miura (Hitotsubashi J Commerce Manag 27(1):15-28, 1992), and important distributional results have been de…

physics.plasm-ph2026

A tensor invariant approach to energy flux in magnetohydrodynamic turbulence

Conan M. Liptrott, Sandra C. Chapman, Bogdan Hnat +1

A scale-by-scale analysis of energy flux in the turbulent cascade can be performed using the spatially filtered magnetohydrodynamic (MHD) equations, while the gradient tensor invar…

cs.AI2026★ 4 cited

Computational Hermeneutics: Evaluating generative AI as a cultural technology

Cody Kommers, Ruth Ahnert, Maria Antoniak +35

Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be measured rather than fundament…

q-fin.CP2026

Uncertainty-Aware Deep Hedging

Manan Poddar

Deep hedging trains neural networks to manage derivative risk under market frictions, but produces hedge ratios with no measure of model confidence -- a significant barrier to depl…

cs.CY2026

Writing literature reviews with AI: principles, hurdles and some lessons learned

Saadi Lahlou, Annabelle Gouttebroze, Atrina Oraee +1

We qualitatively compared literature reviews produced with varying degrees of AI assistance. The same LLM, given the same corpus of 280 papers but different selections, produced dr…

econ.EM2026★ 2 cited

The drift burst hypothesis

Kim Christensen, Roel C. A. Oomen, Roberto Renò

The drift burst hypothesis postulates the existence of short-lived locally explosive trends in the price paths of financial assets. The recent U.S. equity and treasury flash crashe…

econ.EM2026

Multivariate kernel regression in vector and product metric spaces

Marcia Schafgans, Victoria Zinde-Walsh

This paper derives limit properties of nonparametric kernel regression estimators without requiring existence of density for regressors in In functional regressio…