Graduate Theses: Recent submissions

Now showing items 22-24 of 36437

    • Probabilistic Programming over Heterogeneous Language and Hardware Targets 

      Rojas Collins, Elias G. (Massachusetts Institute of Technology, 2025-09)
      Modern probabilistic programming applications, from large-scale Bayesian inference to real-time decision making, require both the expressiveness of CPU-oriented languages such as Gen.jl and the massive parallelism of ...

    • Under-Coverage of Double Machine Learning Due to Implementation Choices 

      Siegmann, Charlotte B. (Massachusetts Institute of Technology, 2025-09)
      Double ML estimators can estimate coefficients of interest with far fewer functional form assumptions than linear econometric methods. However, DML requires researchers to make a range of implementation choices, including ...

    • Optimizing Irreversible Perturbations of the Unadjusted Langevin Algorithm 

      Zhu, Qianyu Julie (Massachusetts Institute of Technology, 2025-09)
      A central task in Bayesian inference and scientific computing is to compute expectations with respect to probability distributions that are only known up to a normalizing constant. Markov chain Monte Carlo (MCMC) methods, ...