data science

POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles

Balancing exploration with exploitation is a core challenge in black-box optimization and reinforcement learning. We introduce POETS ($\textbf{Po}$licy $\textbf{E}$nsembles for $\textbf{T}$hompson $\textbf{S}$ampling), a novel framework that bridges uncertainty quantification and policy optimization. Our approach is gr...

Q-MMR: Off-Policy Evaluation via Recursive Reweighting and Moment Matching

We present a novel theoretical framework, Q-MMR, for off-policy evaluation in finite-horizon MDPs. Q-MMR learns a set of scalar weights, one for each data point, such that the reweighted rewards approximate the expected return under the target policy. The weights are learned inductively in a top-down manner via a momen...

NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning

Multi-agent language systems are often built as hand-designed workflows, where agents are assigned semantic roles and communication protocols are specified in advance. We propose NeuroMAS, a method that first treats a multi-agent language system as a trainable and scalable neural-network-like architecture with LLM agen...

Implicit Neural Representations for Variational Problems on Graphons

We propose a neural exploratory framework for variational problems over graphons, i.e., symmetric measurable functions $[0,1]^2 \to [0,1]$, that arise as limits of dense graph sequences. Such problems are central to two parts of the mathematical literature: extremal graph theory, which studies graph parameter optimisat...

Rethinking Representation Geometry in Supervised Contrastive Learning under Long-Tailed Data

Supervised contrastive learning and its balanced variants have demonstrated their effectiveness for representation learning under long-tailed distributions. However, although prior analyses suggest that their optimal representations may exhibit a regular simplex geometry, whether such a geometry is indeed exhibited rem...

Learning to Be Monitored: Causal Bounds and Intervention-Aware Post-Training Recipes for Chain-of-Thought Monitorability

Chain-of-thought (CoT) monitoring aims to detect potentially harmful behaviors in large language models (LLMs) from their CoTs. Intervention-based evaluations measure this property by asking whether a monitor can detect the role of an intervention from the CoT when the targeted behavior occurs, typically using minimal-...

Statistics for Management: Concepts, Methods and Business Applications

Statistics for Management: Concepts, Methods and Business Applications by Bilal Ahmadand Dr. M. Yameen Danish is a practical textbook designed to bridge the gap betweenabstract mathematical theory and real-world organizational decision-making. It serves as aself-contained foundational resource for undergraduate student...

Sovereign Biophysical Dataset: The Daqian Cipher Series No 13 Broadcast Chronicles on Zhang Daqian's Sovereign Replications of Yulan Guanyin

[English] An upgraded, permanently registered, and DOI-linked cross-disciplinary open-science dataset (Series No. 13, Part 1 by Dr. Francis C. Yu) preserving the official multimedia broadcast chronicle, metadata matrices, and textual validation scripts for the academic television program titled "The Daqian Cipher Serie...

Assessment of Community Perceptions toward the Importance of Pupils' Enrollment in Pre-Primary Schools in Morogoro Municipality, Tanzania

Abstract: This paper examined community perceptions towards the importance of pupils' enrolment in pre-primary schools in Morogoro Municipality, Tanzania. The research was motivated by inconsistencies in pupils' enrolment in pre-primary schools, despite their recognised importance. A mixed-methods research design withi...

How Plato’s Lie about Atlantis

The debate over the origin of human civilization has long been trapped between two equally flawed extremes: the rigid dogma of linear history, which views early humanity as intellectually primitive until the sudden arrival of written script, and the romantic siren call of pseudo-archaeology, which imagines sunken conti...

Spirituality and Religion in Diabetes Mellitus Research Across Asia: a Bibliometric Analysis of the Web of Science (1990–2026)

Influence of Micro- and Nanoplastic Aging and Weathering on Human and Mammalian Health: A Systematic Review

Micro- and nanoplastics (MNPs) are widespread environmental contaminants, yet most toxicological studies use pristine materials that do not reflect environmentally induced transformations. This systematic review evaluated whether aged or weathered MNPs produce greater or altered biological responses than pristine par...