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Dissertations from 2023

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An Introspective Approach for Competence-Aware Autonomy, Connor Basich, Computer Science

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Foundations of Node Representation Learning, Sudhanshu Chanpuriya, Computer Science

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Learning to See with Minimal Human Supervision, Zezhou Cheng, Computer Science

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IMPROVING USER EXPERIENCE BY OPTIMIZING CLOUD SERVICES, Ishita Dasgupta, Computer Science

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Automating the Formal Verification of Software, Emily First, Computer Science

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Learning from Sequential User Data: Models and Sample-efficient Algorithms, Aritra Ghosh, Computer Science

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Human-Centered Technologies for Inclusive Collection and Analysis of Public-Generated Data, Mahmood Jasim, Computer Science

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Rigorous Experimentation For Reinforcement Learning, Scott M. Jordan, Computer Science

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Towards Robust Long-form Text Generation Systems, Kalpesh Krishna, Computer Science

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Emerging Trustworthiness Issues in Distributed Learning Systems, Hamid Mozaffari, Computer Science

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TOWARDS RELIABLE CIRCUMVENTION OF INTERNET CENSORSHIP, Milad nasresfahani, Computer Science

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Evidence Assisted Learning for Clinical Decision Support Systems, Bhanu Pratap Singh Rawat, Computer Science

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DESIGN AND ANALYSIS OF CONTENT CACHING SYSTEMS, Anirudh Sabnis, Computer Science

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Quantifying and Enhancing the Security of Federated Learning, Virat Vishnu Shejwalkar, Computer Science

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Effective and Efficient Transfer Learning in the Era of Large Language Models, Tu Vu, Computer Science

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Data-driven Modeling and Analytics for Greening the Energy Ecosystem, John Wamburu, Computer Science

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Bayesian Structural Causal Inference with Probabilistic Programming, Sam A. Witty, Computer Science

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LEARNING TO RIG CHARACTERS, Zhan Xu, Computer Science

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GRAPH REPRESENTATION LEARNING WITH BOX EMBEDDINGS, Dongxu Zhang, Computer Science

Dissertations from 2022

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COMBINATORIAL ALGORITHMS FOR GRAPH DISCOVERY AND EXPERIMENTAL DESIGN, Raghavendra K. Addanki, Computer Science

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MEASURING NETWORK INTERFERENCE AND MITIGATING IT WITH DNS ENCRYPTION, Seyed Arian Akhavan Niaki, Computer Science

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Few-Shot Natural Language Processing by Meta-Learning Without Labeled Data, Trapit Bansal, Computer Science

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Communicative Information Visualizations: How to make data more understandable by the general public, Alyxander Burns, Computer Science

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REINFORCEMENT LEARNING FOR NON-STATIONARY PROBLEMS, Yash Chandak, Computer Science

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Modeling the Multi-mode Distribution in Self-Supervised Language Models, Haw-Shiuan Chang, Computer Science

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Nonparametric Contextual Reasoning for Question Answering over Large Knowledge Bases, Rajarshi Das, Computer Science

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Languages and Compilers for Writing Efficient High-Performance Computing Applications, Abhinav Jangda, Computer Science

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Controllable Neural Synthesis for Natural Images and Vector Art, Difan Liu, Computer Science

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Probabilistic Commonsense Knowledge, Xiang Li, Computer Science

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DISTRIBUTED LEARNING ALGORITHMS: COMMUNICATION EFFICIENCY AND ERROR RESILIENCE, Raj Kumar Maity, Computer Science

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Practical Methods for High-Dimensional Data Publication with Differential Privacy, Ryan H. McKenna, Computer Science

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Incremental Non-Greedy Clustering at Scale, Nicholas Monath, Computer Science

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High-Quality Automatic Program Repair, Manish Motwani, Computer Science

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Unobtrusive Assessment of Upper-Limb Motor Impairment Using Wearable Inertial Sensors, Brandon R. Oubre, Computer Science

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Mixture Models in Machine Learning, Soumyabrata Pal, Computer Science

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Decision Making with Limited Data, Kieu My Phan, Computer Science

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Neural Approaches for Language-Agnostic Search and Recommendation, Hamed Rezanejad Asl Bonab, Computer Science

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Low Resource Language Understanding in Voice Assistants, Subendhu Rongali, Computer Science

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Enabling Daily Tracking of Individual’s Cognitive State With Eyewear, Soha Rostaminia, Computer Science

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LABELED MODULES IN PROGRAMS THAT EVOLVE, Anil K. Saini, Computer Science

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Reliable Decision-Making with Imprecise Models, Sandhya Saisubramanian, Computer Science

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Data Scarcity in Event Analysis and Abusive Language Detection, Sheikh Muhammad Sarwar, Computer Science

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Representation Learning for Shape Decomposition, By Shape Decomposition, Gopal Sharma, Computer Science

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Metareasoning for Planning and Execution in Autonomous Systems, Justin Svegliato, Computer Science

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Approximate Bayesian Deep Learning for Resource-Constrained Environments, Meet Prakash Vadera, Computer Science

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ANSWER SIMILARITY GROUPING AND DIVERSIFICATION IN QUESTION ANSWERING SYSTEMS, Lakshmi Nair Vikraman, Computer Science

Dissertations from 2021

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Neural Approaches to Feedback in Information Retrieval, Keping Bi, Computer Science

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Sociolinguistically Driven Approaches for Just Natural Language Processing, Su Lin Blodgett, Computer Science

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Enabling Declarative and Scalable Prescriptive Analytics in Relational Data, Matteo Brucato, Computer Science

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Neural Methods for Answer Passage Retrieval over Sparse Collections, Daniel Cohen, Computer Science

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Utilizing Graph Structure for Machine Learning, Stefan Dernbach, Computer Science

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Enhancing Usability and Explainability of Data Systems, Anna Fariha, Computer Science

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Algorithms to Exploit Data Sparsity, Larkin H. Flodin, Computer Science

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3D Shape Understanding and Generation, Matheus Gadelha, Computer Science

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Robust Algorithms for Clustering with Applications to Data Integration, Sainyam Galhotra, Computer Science

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Improving Evaluation Methods for Causal Modeling, Amanda Gentzel, Computer Science

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SAFE AND PRACTICAL MACHINE LEARNING, Stephen J. Giguere, Computer Science

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COMPACT REPRESENTATIONS OF UNCERTAINTY IN CLUSTERING, Craig Stuart Greenberg, Computer Science

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Natural Language Processing for Lexical Corpus Analysis, Abram Kaufman Handler, Computer Science

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Social Measurement and Causal Inference with Text, Katherine A. Keith, Computer Science

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Concentration Inequalities in the Wild: Case Studies in Blockchain & Reinforcement Learning, A. Pinar Ozisik, Computer Science

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Resource Allocation in Distributed Service Networks, Nitish Kumar Panigrahy, Computer Science

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History Modeling for Conversational Information Retrieval, Chen Qu, Computer Science

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Design and Implementation of Algorithms for Traffic Classification, Fatemeh Rezaei, Computer Science

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SCALING DOWN THE ENERGY COST OF CONNECTING EVERYDAY OBJECTS TO THE INTERNET, Mohammad Rostami, Computer Science

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Deep Learning Models for Irregularly Sampled and Incomplete Time Series, Satya Narayan Shukla, Computer Science

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Traffic engineering in planet-scale cloud networks, Rachee Singh, Computer Science

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Video Adaptation for High-Quality Content Delivery, Kevin Spiteri, Computer Science

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Learning from Limited Labeled Data for Visual Recognition, Jong-Chyi Su, Computer Science

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Human Mobility Monitoring using WiFi: Analysis, Modeling, and Applications, Amee Trivedi, Computer Science

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Geometric Representation Learning, Luke Vilnis, Computer Science

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Understanding of Visual Domains via the Lens of Natural Language, Chenyun Wu, Computer Science

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Towards Practical Differentially Private Mechanism Design and Deployment, Dan Zhang, Computer Science

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Audio-driven Character Animation, Yang Zhou, Computer Science

Dissertations from 2020

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Noise-Aware Inference for Differential Privacy, Garrett Bernstein, Computer Science

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Motion Segmentation - Segmentation of Independently Moving Objects in Video, Pia Katalin Bideau, Computer Science

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An Empirical Assessment of the Effectiveness of Deception for Cyber Defense, Kimberly J. Ferguson-Walter, Computer Science

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Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems, Richard Freedman, Computer Science

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Improving Reinforcement Learning Techniques by Leveraging Prior Experience, Francisco M. Garcia, Computer Science

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Optimization and Training of Generational Garbage Collectors, Nicholas Jacek, Computer Science

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Understanding the Dynamic Visual World: From Motion to Semantics, Huaizu Jiang, Computer Science

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Improving Face Clustering in Videos, SouYoung Jin, Computer Science

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Reasoning About User Feedback Under Identity Uncertainty in Knowledge Base Construction, Ariel Kobren, Computer Science

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Learning Latent Characteristics of Data and Models using Item Response Theory, John P. Lalor, Computer Science

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Higher-Order Representations for Visual Recognition, Tsung-Yu Lin, Computer Science

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Learning from Irregularly-Sampled Time Series, Steven Cheng-Xian Li, Computer Science

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Dynamic Composition of Functions for Modular Learning, Clemens GB Rosenbaum, Computer Science

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Improving Visual Recognition With Unlabeled Data, Aruni Roy Chowdhury, Computer Science

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Deep Neural Networks for 3D Processing and High-Dimensional Filtering, Hang Su, Computer Science

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Towards Optimized Traffic Provisioning and Adaptive Cache Management for Content Delivery, Aditya Sundarrajan, Computer Science

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The Limits of Location Privacy in Mobile Devices, Keen Yuun Sung, Computer Science

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ALGORITHMS FOR MASSIVE, EXPENSIVE, OR OTHERWISE INCONVENIENT GRAPHS, David Tench, Computer Science

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System Design for Digital Experimentation and Explanation Generation, Emma Tosch, Computer Science