Doctoral Theses: Recent submissions

Now showing items 73-75 of 23305

    • Modern methods for causal inference and missing data 

      Xia, Eric (Massachusetts Institute of Technology, 2025-09)
      The proliferation of data-driven approaches in a wide array of settings is one of the defining characteristic of the modern era. With this rise, there has been much focus on using data to answer causal questions, e.g. ...

    • Steering Vision at Scale: From the Model Weights to Training Data 

      Materzyńska, Joanna (Massachusetts Institute of Technology, 2025-09)
      We study the interpretability and controllability of multimodal and generative models, with a particular focus on text–image representation models and text-to-image diffusion systems. We begin by addressing limitations in ...

    • How Data Drives ML Models Performance 

      Khaddaj, Alaa (Massachusetts Institute of Technology, 2025-09)
      Data has been been playing an increasingly more important role in the machine learning (ML) pipeline. This thesis deepens the understanding of the effect of the data on model performance and reliability. First, we study ...