Dissertations from 2023
Learning from Sequential User Data: Models and Sample-efficient Algorithms, Computer Science
An Introspective Approach for Competence-Aware Autonomy, Connor Basich, Computer Science
IMPROVING USER EXPERIENCE BY OPTIMIZING CLOUD SERVICES, Ishita Dasgupta, Computer Science
Automating the Formal Verification of Software, Emily First, Computer Science
Rigorous Experimentation For Reinforcement Learning, Scott M. Jordan, Computer Science
Emerging Trustworthiness Issues in Distributed Learning Systems, Hamid Mozaffari, Computer Science
Evidence Assisted Learning for Clinical Decision Support Systems, Bhanu Pratap Singh Rawat, Computer Science
DESIGN AND ANALYSIS OF CONTENT CACHING SYSTEMS, Anirudh Sabnis, Computer Science
Data-driven Modeling and Analytics for Greening the Energy Ecosystem, John Wamburu, Computer Science
LEARNING TO RIG CHARACTERS, Zhan Xu, Computer Science
GRAPH REPRESENTATION LEARNING WITH BOX EMBEDDINGS, Dongxu Zhang, Computer Science
Dissertations from 2022
COMBINATORIAL ALGORITHMS FOR GRAPH DISCOVERY AND EXPERIMENTAL DESIGN, Raghavendra K. Addanki, Computer Science
MEASURING NETWORK INTERFERENCE AND MITIGATING IT WITH DNS ENCRYPTION, Seyed Arian Akhavan Niaki, Computer Science
Few-Shot Natural Language Processing by Meta-Learning Without Labeled Data, Trapit Bansal, Computer Science
Communicative Information Visualizations: How to make data more understandable by the general public, Alyxander Burns, Computer Science
REINFORCEMENT LEARNING FOR NON-STATIONARY PROBLEMS, Yash Chandak, Computer Science
Modeling the Multi-mode Distribution in Self-Supervised Language Models, Haw-Shiuan Chang, Computer Science
Nonparametric Contextual Reasoning for Question Answering over Large Knowledge Bases, Rajarshi Das, Computer Science
Languages and Compilers for Writing Efficient High-Performance Computing Applications, Abhinav Jangda, Computer Science
Controllable Neural Synthesis for Natural Images and Vector Art, Difan Liu, Computer Science
Probabilistic Commonsense Knowledge, Xiang Li, Computer Science
DISTRIBUTED LEARNING ALGORITHMS: COMMUNICATION EFFICIENCY AND ERROR RESILIENCE, Raj Kumar Maity, Computer Science
Practical Methods for High-Dimensional Data Publication with Differential Privacy, Ryan H. McKenna, Computer Science
Incremental Non-Greedy Clustering at Scale, Nicholas Monath, Computer Science
High-Quality Automatic Program Repair, Manish Motwani, Computer Science
Unobtrusive Assessment of Upper-Limb Motor Impairment Using Wearable Inertial Sensors, Brandon R. Oubre, Computer Science
Mixture Models in Machine Learning, Soumyabrata Pal, Computer Science
Decision Making with Limited Data, Kieu My Phan, Computer Science
Neural Approaches for Language-Agnostic Search and Recommendation, Hamed Rezanejad Asl Bonab, Computer Science
Low Resource Language Understanding in Voice Assistants, Subendhu Rongali, Computer Science
Enabling Daily Tracking of Individual’s Cognitive State With Eyewear, Soha Rostaminia, Computer Science
LABELED MODULES IN PROGRAMS THAT EVOLVE, Anil K. Saini, Computer Science
Reliable Decision-Making with Imprecise Models, Sandhya Saisubramanian, Computer Science
Data Scarcity in Event Analysis and Abusive Language Detection, Sheikh Muhammad Sarwar, Computer Science
Representation Learning for Shape Decomposition, By Shape Decomposition, Gopal Sharma, Computer Science
Metareasoning for Planning and Execution in Autonomous Systems, Justin Svegliato, Computer Science
Approximate Bayesian Deep Learning for Resource-Constrained Environments, Meet Prakash Vadera, Computer Science
ANSWER SIMILARITY GROUPING AND DIVERSIFICATION IN QUESTION ANSWERING SYSTEMS, Lakshmi Nair Vikraman, Computer Science
Dissertations from 2021
Neural Approaches to Feedback in Information Retrieval, Keping Bi, Computer Science
Sociolinguistically Driven Approaches for Just Natural Language Processing, Su Lin Blodgett, Computer Science
Enabling Declarative and Scalable Prescriptive Analytics in Relational Data, Matteo Brucato, Computer Science
Neural Methods for Answer Passage Retrieval over Sparse Collections, Daniel Cohen, Computer Science
Utilizing Graph Structure for Machine Learning, Stefan Dernbach, Computer Science
Enhancing Usability and Explainability of Data Systems, Anna Fariha, Computer Science
Algorithms to Exploit Data Sparsity, Larkin H. Flodin, Computer Science
3D Shape Understanding and Generation, Matheus Gadelha, Computer Science
Robust Algorithms for Clustering with Applications to Data Integration, Sainyam Galhotra, Computer Science
Improving Evaluation Methods for Causal Modeling, Amanda Gentzel, Computer Science
SAFE AND PRACTICAL MACHINE LEARNING, Stephen J. Giguere, Computer Science
COMPACT REPRESENTATIONS OF UNCERTAINTY IN CLUSTERING, Craig Stuart Greenberg, Computer Science
Natural Language Processing for Lexical Corpus Analysis, Abram Kaufman Handler, Computer Science
Social Measurement and Causal Inference with Text, Katherine A. Keith, Computer Science
Concentration Inequalities in the Wild: Case Studies in Blockchain & Reinforcement Learning, A. Pinar Ozisik, Computer Science
Resource Allocation in Distributed Service Networks, Nitish Kumar Panigrahy, Computer Science
History Modeling for Conversational Information Retrieval, Chen Qu, Computer Science
Design and Implementation of Algorithms for Traffic Classification, Fatemeh Rezaei, Computer Science
SCALING DOWN THE ENERGY COST OF CONNECTING EVERYDAY OBJECTS TO THE INTERNET, Mohammad Rostami, Computer Science
Deep Learning Models for Irregularly Sampled and Incomplete Time Series, Satya Narayan Shukla, Computer Science
Traffic engineering in planet-scale cloud networks, Rachee Singh, Computer Science
Video Adaptation for High-Quality Content Delivery, Kevin Spiteri, Computer Science
Learning from Limited Labeled Data for Visual Recognition, Jong-Chyi Su, Computer Science
Human Mobility Monitoring using WiFi: Analysis, Modeling, and Applications, Amee Trivedi, Computer Science
Geometric Representation Learning, Luke Vilnis, Computer Science
Understanding of Visual Domains via the Lens of Natural Language, Chenyun Wu, Computer Science
Towards Practical Differentially Private Mechanism Design and Deployment, Dan Zhang, Computer Science
Audio-driven Character Animation, Yang Zhou, Computer Science
Dissertations from 2020
Noise-Aware Inference for Differential Privacy, Garrett Bernstein, Computer Science
Motion Segmentation - Segmentation of Independently Moving Objects in Video, Pia Katalin Bideau, Computer Science
An Empirical Assessment of the Effectiveness of Deception for Cyber Defense, Kimberly J. Ferguson-Walter, Computer Science
Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems, Richard Freedman, Computer Science
Improving Reinforcement Learning Techniques by Leveraging Prior Experience, Francisco M. Garcia, Computer Science
Optimization and Training of Generational Garbage Collectors, Nicholas Jacek, Computer Science
Understanding the Dynamic Visual World: From Motion to Semantics, Huaizu Jiang, Computer Science
Improving Face Clustering in Videos, SouYoung Jin, Computer Science
Reasoning About User Feedback Under Identity Uncertainty in Knowledge Base Construction, Ariel Kobren, Computer Science
Learning Latent Characteristics of Data and Models using Item Response Theory, John P. Lalor, Computer Science
Higher-Order Representations for Visual Recognition, Tsung-Yu Lin, Computer Science
Learning from Irregularly-Sampled Time Series, Steven Cheng-Xian Li, Computer Science
Dynamic Composition of Functions for Modular Learning, Clemens GB Rosenbaum, Computer Science
Improving Visual Recognition With Unlabeled Data, Aruni Roy Chowdhury, Computer Science
Deep Neural Networks for 3D Processing and High-Dimensional Filtering, Hang Su, Computer Science
Towards Optimized Traffic Provisioning and Adaptive Cache Management for Content Delivery, Aditya Sundarrajan, Computer Science
The Limits of Location Privacy in Mobile Devices, Keen Yuun Sung, Computer Science
ALGORITHMS FOR MASSIVE, EXPENSIVE, OR OTHERWISE INCONVENIENT GRAPHS, David Tench, Computer Science
System Design for Digital Experimentation and Explanation Generation, Emma Tosch, Computer Science
Performance Evaluation of Classical and Quantum Communication Systems, Gayane Vardoyan, Computer Science
Probabilistic Inference with Generating Functions for Population Dynamics of Unmarked Individuals, Kevin Winner, Computer Science
Computational Approaches to Assisting Patients' Medical Comprehension from Electronic Health Records, Jiaping Zheng, Computer Science
Dissertations from 2019
Neural Generative Models and Representation Learning for Information Retrieval, Qingyao Ai, Computer Science
Poetry: Identification, Entity Recognition, and Retrieval, John J. Foley IV, Computer Science
FROM OPTIMIZATION TO EQUILIBRATION: UNDERSTANDING AN EMERGING PARADIGM IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING, Ian Gemp, Computer Science
Energy-Aware Algorithms for Greening Internet-Scale Distributed Systems Using Renewables, Vani Gupta, Computer Science
Scalable Data-driven Modeling and Analytics for Smart Buildings, Srinivasan Iyengar, Computer Science
PROBABILISTIC MODELS FOR IDENTIFYING AND EXPLAINING CONTROVERSY, Myungha Jang, Computer Science
Game-Assisted Rehabilitation for Post-Stroke Survivors, Hee-Tae Jung, Computer Science
Hierarchical Belief Spaces for Autonomous Mobile Manipulation, Michael W. Lanighan, Computer Science
Software-Defined Infrastructure for IoT-based Energy Systems, Stephen Lee, Computer Science
Tools for Tutoring Theoretical Computer Science Topics, Mark McCartin-Lim, Computer Science
DATA-DRIVEN APPROACH TO IMAGE CLASSIFICATION, Venkatesh NarasimhaMurthy, Computer Science
MACHINE LEARNING METHODS FOR PERSONALIZED HEALTH MONITORING USING WEARABLE SENSORS, Annamalai Natarajan, Computer Science