Doctoral Theses
Theses by Department
- Computational and Systems Biology
- Department of Aeronautics and Astronautics
- Department of Architecture
- Department of Biological Engineering
- Department of Biology
- Department of Brain and Cognitive Sciences
- Department of Chemical Engineering
- Department of Chemistry
- Department of Civil and Environmental Engineering
- Department of Earth, Atmospheric, and Planetary Sciences
- Department of Economics
- Department of Electrical Engineering and Computer Sciences
- Department of Humanities
- Department of Linguistics and Philosophy
- Department of Materials Science and Engineering
- Department of Mathematics
- Department of Mechanical Engineering
- Department of Nuclear Science and Engineering
- Department of Ocean Engineering
- Department of Physics
- Department of Political Science
- Department of Urban Studies and Planning
- Engineering Systems Division
- Harvard-MIT Program of Health Sciences and Technology
- Institute for Data, Systems, and Society
- Media Arts & Sciences
- Operations Research Center
- Science, Technology & Society
- Sloan School of Management
- Technology and Policy Program
Recent Submissions
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Understanding and Overcoming Optimization Barriers in Non-convex and Non-smooth Machine Learning
(Massachusetts Institute of Technology, 2025-09)At their core, our machine learning systems are trained by solving an optimization problem, where the goal is to minimize a predefined objective function by adjusting model parameters based on the data. Despite the wealth ... -
The Causal Effects of Mandatory Quarterly Earnings Guidance on Corporate Information Environment and Corporate Short-Termism
(Massachusetts Institute of Technology, 2025-09)I examine the causal effects of mandatory quarterly earnings guidance using a regulatory mandate in China that required a subset of listed firms to issue bundled quarterly earnings guidance from 2007 to 2018. A ... -
Bespoke Threat Models: Achieving Realistic Privacy Guarantees for Deployed Protocols
(Massachusetts Institute of Technology, 2025-09)This thesis focuses on the question of what degree of privacy is achievable in the real world for long-running applications. We explore this question in two main settings: private advertising and anonymous communication. ...
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