stat.ML · 2026-07-14 · No. 53

Machine Learning, 2026-07-14.

2 new papers in stat.ML. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Diversified Multinomial Logit Contextual Bandits

    Heesang Ann, Taehyun Hwang, Min-hwan Oh

    stat.ML · cs.LG

    Existing contextual multinomial logit (MNL) bandits model relevance-driven choice but ignore the potential benefits of within-assortment diversity, while submodular/combinatorial bandits encode diversity in rewards but lack structured choice probabilities. We bridge this gap with the $\textit{diversified multinomial logit}$ (DMNL) contextual bandit, which augments MNL choice probabilities with a generally submodular diversity function,...

    arxiv.org/abs/2607.11684 · PDF

  2. 02

    Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting

    Rahul Goswami, Shinjini Paul, Palash Ghosh, Tanujit Chakraborty

    stat.ML · cs.LG

    Accurate dengue forecasting is crucial for public health planning, but remains challenging because incidence series are often short, noisy, non-stationary, nonlinear, and often affected by long-range temporal dependence. Fractional differencing in Autoregressive Fractionally Integrated Moving Average (ARFIMA) helps balance non-stationarity and persistence, but its linear structure limits its ability to capture nonlinear dynamics. Deep neural...

    arxiv.org/abs/2607.11272 · PDF

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