Research Article Template with Citations and BibTeX

Publishing reproducible scholarship requires more than compelling charts. This template demonstrates how to structure a research article, cite related work, and provide BibTeX metadata so colleagues can reference your study quickly.

Abstract

We evaluate adaptive experimentation for recommendation systems, focusing on policy regret minimization across cold-start cohorts. Empirical results indicate a 12% lift in engagement relative to static baselines while maintaining fairness constraints.

Introduction

Personalized experiences need to balance accuracy and fairness. Prior work on contextual bandits¹ and constrained optimization² lays the foundation for our framework.

Methodology

We define policy regret as

where $r_t$ is the reward and $a_t^\star$ is the action chosen by an oracle. Algorithm 1 summarizes the constrained Thompson sampling procedure.

Initialize posterior priors for all arms
for each round t = 1..T:
  sample reward estimates from posterior
  project samples to satisfy fairness constraints
  choose arm with highest adjusted draw
  update posterior with observed reward

Results

Discussion

Equation \eqref{eq:regret} highlights how regret decomposes into reward differences. Future work will incorporate causal constraints to prevent drift.

Cite this work

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@article{ribeiro2024adaptive,
  title = {Adaptive Recommendation Under Fairness Constraints},
  author = {Ribeiro, Diogo and Smith, Ada},
  journal = {Journal of Responsible AI},
  year = {2024},
  volume = {12},
  number = {2},
  pages = {45--63},
  doi = {10.1234/jrai.2024.5678}
}

Add this BibTeX block to your citation manager or to the CITATION.cff file when you release accompanying code. The DataLog theme handles footnotes, equations, and code blocks seamlessly in a single article.