PhD Dissertation Proposal Defense
PhD Dissertation Proposal Defense: Janice Yu Zhen Chen, Toward Resource-Efficient Decision-Making for Networked Systems
This dissertation focuses on developing resource-efficient decision-making policies to address key challenges in various networked systems.
PhD Dissertation Proposal: Daniel Marew, From Optimization to Learning: Developing Controllers for Dynamic Legged Robots
This thesis investigates motion planning and learning based control methods with the goal of developing robust controllers for dynamic legged robots.
PhD Dissertation Proposal Defense: Yixiao Song, Advancing AI Factuality via Comprehensive Evaluation
This thesis addresses the urgent need for more robust evaluation methodologies by developing scalable, accurate tools and benchmarks for factuality assessment.
PhD Dissertation Proposal: Edmond Cunningham, Orthogonal Coordinates for Representing Probability Density Functions
This thesis reframes low dimensional representation as a coordinate-learning problem.
PhD Dissertation Proposal Defense: Abhinav Bhatia, Learning to Think about Thinking: Metareasoning with Deep Reinforcement Learning for Efficient and Safe Decision-Making
This thesis significantly generalizes the scope of metareasoning by treating any factor that restricts an agent's ability to optimize its core objective.
PhD Dissertation Proposal: Zhanna Kaufman, Measuring and Increasing Trust in Software Systems
This dissertation develops methods for accurately measuring user trust in software and creates automated techniques for making software more trustworthy.
PhD Dissertation Proposal Defense: Katherine Thai, Modeling Literary Interpretation: Benchmarks and Methods for Machine Understanding of Literature
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
PhD Dissertation Proposal Defense: Angela Upreti, Design and Implementation of optimizations for Web Assembly Extended with Transactions and Persistence
This thesis will explore optimizations related to these new opcodes and functionality.
PhD Dissertation Proposal Defense: Shiv Shankar, Counterfactual Inference in the Era of User Privacy and Gen-AI Models
This dissertation addresses emerging challenges and proposes innovative approaches to adapt A/B testing methodologies to modern constraints while maintaining...
PhD Dissertation Proposal Defense: Rajarshi Bhattacharjee, Query Efficient Algorithms for Matrix Spectrum Approximation
This thesis develops and analyzes algorithms for several key problems related to eigenvalue and eigenvector estimation...
PhD Dissertation Proposal: Ojaswi Acharya, Practical Advances in Modern Cryptographic Primitives
In this thesis, we identify and rectify some remaining limitations of such cryptographic constructions and their proofs of security.
PhD Dissertation Proposal: Deep Chakraborty, Information-Theoretic Methods for Understanding and Improving Representations in Neural Networks
In the first part of this thesis, we formulate a general-purpose information-theoretic criterion that allows further improving SSL representations.