Doctoral Theses: Recent submissions

Now showing items 163-165 of 23243

    • Learning from Weak Supervision: Theory, Methods, and Applications 

      Lang, Hunter (Massachusetts Institute of Technology, 2025-05)
      The growing demand for high-quality labeled data to train machine learning models has driven widespread adoption of weak supervision and synthetic data methods, which use automated models instead of humans for annotation. ...

    • Multi-fidelity Optimal Trajectory Generation: Optimal Experiment Design for Robot Learning 

      Ryou, Gilhyun (Massachusetts Institute of Technology, 2024-09)
      Data-driven methods have significantly advanced robot learning, yet their direct application to real-world robots remains challenging, particularly under extreme conditions. This challenge is especially pronounced for ...

    • Efficient Systems for Large-Scale Graph Representation Learning 

      Huang, Tianhao (Massachusetts Institute of Technology, 2025-05)
      Graph representation learning has gained significant traction in critical domains including finance, social networks, and transportation systems due to its successful application to graphstructured data. Graph neural ...