Now showing items 544-546 of 36544

    • Mixed-Variable Bayesian Optimization using Prior-Data Fitted Networks 

      Qian, Janet (Massachusetts Institute of Technology, 2025-05)
      Bayesian optimization (BO) is a powerful framework for optimizing expensive blackbox functions, widely used in domains such as materials science, engineering design, and hyperparameter tuning. Traditional BO relies on ...
    • Eliminating Hallucination-Induced Errors in Code Generation with Functional Clustering 

      Ravuri, Chaitanya (Massachusetts Institute of Technology, 2025-05)
      Modern code–generation LLMs can already solve a large fraction of programming problems, yet they still hallucinate subtle bugs that make their outputs unsafe for autonomous deployment. We present functional clustering, a ...
    • Choosing Networks for Ride-Hailing Platforms 

      Somsirivattana, Thana (Massachusetts Institute of Technology, 2025-05)
      The development of autonomous vehicles is poised to reshape the landscape of transportation. As companies prepare to deploy these vehicles on ride-hailing platforms, a key operational challenge is determining the networks ...