PhD Dissertation Proposal Defense
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 Defense: Aimen Gaba, Natural Language and Visual Design Can Influence Trust and Bias Perception in AI
Gaba's dissertation explores the role of natural language and visualization design in shaping users' perceptions of bias in ML systems and its impact on trust.
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 Defense: Juhyeon Lee, Advancing Objective Motor Severity Assessment in Cerebellar Ataxias Using Wearable Sensors and Machine Learning
Cerebellar ataxias are a group of etiologically diverse neurological diseases that cause dysfunction of the cerebellum and related pathways.
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.
PhD Dissertation Proposal Defense: Yunda Liu, Advancing Objective Assessment of Physical and Behavioral Phenotypes Using Wearable and Mobile Technologies
This dissertation focuses on advancing wearable technology-based models for assessing physical and behavioral phenotypes.
PhD Dissertation Proposal Defense: Aparimit Chandra, Performance of Operational Quantum Network Processes
We focus on three fundamental processes: quantum teleportation with noisy memories, error correction in quantum storage, and distributed blind quantum computing
PhD Dissertation Proposal Defense: Dhawal Gupta, Improving Temporal Credit Assignment in Reinforcement Learning
This dissertation addresses key aspects of TCAP by proposing novel methodologies that enhance value estimation...
PhD Dissertation Proposal: Elita Lobo, Robust Machine Learning Methods for Uncertain Environments
This thesis addresses challenges with robust algorithms tackling different aspects of uncertainty, including RL, resource allocation, explainability and LLMs.
PhD Dissertation Proposal Defense: Oindrila Saha, Fine-Grained Recognition with Limited Supervision
This thesis advances fine-grained recognition under limited supervision through several complementary approaches.
PhD Dissertation Proposal: Miguel Fuentes, Synthetic Data with Applications to Privacy and Ecology
This dissertation shows that two distinct fields - differential privacy and computational ecology - can be addressed through a unified methodological framework.