PhD Dissertation Proposal Defense

In this thesis, we explore how recent progress in generative modeling improves solutions to inverse problems.

This thesis develops and analyzes principled, efficient, and scalable algorithms for answering marginal queries under differential privacy.

This dissertation focuses on developing resource-efficient decision-making policies to address key challenges in various networked systems.

This thesis investigates motion planning and learning based control methods with the goal of developing robust controllers for dynamic legged robots.

This thesis addresses the urgent need for more robust evaluation methodologies by developing scalable, accurate tools and benchmarks for factuality assessment.

This thesis reframes low dimensional representation as a coordinate-learning problem.

This thesis significantly generalizes the scope of metareasoning by treating any factor that restricts an agent's ability to optimize its core objective.

This dissertation develops methods for accurately measuring user trust in software and creates automated techniques for making software more trustworthy.

This thesis argues that if LLMs are to engage meaningfully with the full spectrum of human language, they must also demonstrate proficiency in literary analysis

This thesis explores the design and implementation of ultrasonic sensing systems allowing devices to perceive and interpret signals beyond the audible spectrum.

This thesis will explore optimizations related to these new opcodes and functionality.

This thesis explores new spatial shifting techniques to reduce carbon emissions while maintaining performance.