mailitics

Tag: scale

  • SCaLE: Switching Cost aware Learning and Exploration

    SCaLE: Switching Cost aware Learning and Exploration arXiv:2601.09042v1 Announce Type: cross Abstract: This work addresses the fundamental problem of unbounded metric movement costs in bandit online convex optimization, by considering high-dimensional dynamic quadratic hitting costs and $ell_2$-norm switching costs in a noisy bandit feedback model. For a general class of stochastic environments, we provide the…

  • HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows

    HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows How approximate vector search silently degrades Recall—and what to do about It The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows appeared first on Towards Data Science. Partha Sarkar Go to original source

  • Scale-Adaptive Generative Flows for Multiscale Scientific Data

    Scale-Adaptive Generative Flows for Multiscale Scientific Data arXiv:2509.02971v1 Announce Type: new Abstract: Flow-based generative models can face significant challenges when modeling scientific data with multiscale Fourier spectra, often producing large errors in fine-scale features. We address this problem within the framework of stochastic interpolants, via principled design of noise distributions and interpolation schedules. The key…

  • How to Perform Comprehensive Large Scale LLM Validation

    How to Perform Comprehensive Large Scale LLM Validation Learn how to validate large scale LLM applications The post How to Perform Comprehensive Large Scale LLM Validation appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • Data-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems

    Data-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems arXiv:2503.15545v1 Announce Type: cross Abstract: Network reliability assessment is pivotal for ensuring the robustness of modern infrastructure systems, from power grids to communication networks. While exact reliability computation for binary-state networks is NP-hard, existing approximation methods face critical tradeoffs between…