Dissertations
2019
Nikolaos Tsikoudis
Retrospective Computations over Sets of Snapshots
Design, Implementation and Optimization
Complexity in Coevolution and Deep Learning
Turning Machine Learning Inward: Automating Cloud Databases
Robust and Efficient Techniques in Deep Learning with applications in Computer Vision and Language Understanding
2018
Problem Solving Markov Models and Recursive Pedagogy
Learning to Perform Actions from Demonstrations with Sequential Modeling
Abstract Meaning Representation Parsing
Learning-based Interactive Data Exploration
2017
Monte Carlo Simulation Generation Through Operationalization of Spatial Primitives
Profiling and Quality Assessment of Query Optimizers
Toward a Theory of the Evolution of Modularity Using Sequential-Subtask Environments and Development
Devel-Op: An Optimizer Development Environment