Mathematics (Faculty of): Recent submissions
Now showing items 1-20 of 2794
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Efficient and Differentially Private Statistical Estimation via a Sum-of-Squares Exponential Mechanism
(University of Waterloo, 2023-01-30)As machine learning is applied to more privacy-sensitive data, it is becoming increasingly crucial to develop algorithms that maintain privacy. However, even the most basic high-dimensional statistical estimation tasks ... -
A Stabilizer Formalism for Infinitely Many Qubits
(University of Waterloo, 2023-01-27)The study of infinite dimensional quantum systems has been an active area of discussion in quantum information theory, particularly in settings where certain properties are shown to be not attainable by any finite dimensional ... -
Data-Driven Methods for System Identification and Lyapunov Stability
(University of Waterloo, 2023-01-27)This thesis focuses on data-driven methods applied to system identification and stability analysis of dynamical systems. In the first major contribution of the theorem we propose a learning framework to simultaneously ... -
A Study of the Capabilities of Message-Oriented Middleware Systems
(University of Waterloo, 2023-01-27)We present a comprehensive characterization study of open-source Message-Oriented Middleware (MOM) systems. We devised a rigorous methodology to select and study 10 popular and diverse MOM systems. For each system, we ... -
MECBench: A Framework for Benchmarking Multi-Edge Computing Systems
(University of Waterloo, 2023-01-27)I present MECBench, an extensible benchmarking framework for multi-access edge computing. MECBench is configurable and can emulate networks with different capabilities and conditions, can scale the generated workloads to ... -
Facilitating Information Access for Heterogeneous Data Across Many Languages
(University of Waterloo, 2023-01-25)Information access, which enables people to identify, retrieve, and use information freely and effectively, has attracted interest from academia and industry. Systems for document retrieval and question answering have ... -
Efficient Inference of Transformers in Natural Language Processing: Early Exiting and Beyond
(University of Waterloo, 2023-01-24)Large-scale pre-trained transformer models such as BERT have become ubiquitous in Natural Language Processing (NLP) research and applications. They bring significant improvements to both academia benchmarking tasks and ... -
Causal Inference and Matrix Completion with Correlated Incomplete Data
(University of Waterloo, 2023-01-19)Missing data problems are frequently encountered in biomedical research, social sciences, and environmental studies. When data are missing completely at random, a complete-case analysis may be the easiest approach. However, ... -
A mathematical foundation for the use of cliques in the exploration of data with navigation graphs
(University of Waterloo, 2023-01-19)Navigation graphs were introduced by Hurley and Oldford (2011) as a graph-theoretic framework for exploring data sets, particularly those with many variables. They allow the user to visualize one small subset of the variables ... -
5G RAN/MEC Slicing and Admission Control using Deep Reinforcement Learning
(University of Waterloo, 2023-01-19)The 5G RAN functions can be virtualized and distributed across the radio unit (RU), distributed unit (DU), and centralized unit (CU) to facilitate flexible resource management. Complemented by multi-access edge computing ... -
Road Surface Estimation Using Machine Learning
(University of Waterloo, 2023-01-19)Vehicle motion control systems are present on commercial vehicles to improve safety and driving comfort. Many of these control systems could be further improved given accurate online information about the road condition ... -
Modeling and simulation of uni- and multi-flagellar bacterial locomotion in a viscous fluid
(University of Waterloo, 2023-01-16)Flagellated bacteria categorized as microorganisms, play vital roles in human life such that their beneficial and detrimental effects on different aspects of the ecosystem are indisputable. Flagellated bacteria propel ... -
Adapting to Data Drift in Encrypted Traffic Classification Using Deep Learning
(University of Waterloo, 2023-01-12)Deep learning models have shown to achieve high performance in encrypted traffic classification. However, when it comes to production use, multiple factors challenge the performance of these models. The emergence of new ... -
Improved Bayesian Network Structure Learning in the Model Averaging Paradigm
(University of Waterloo, 2023-01-10)A Bayesian network (BN) is a probabilistic graphical model with applications in knowledge discovery and prediction. Its structure can be learned from data using the well-known score-and-search approach, where a scoring ... -
Improving Data Locality in Applications through Execution Delegation
(University of Waterloo, 2023-01-09)With the slowing or even death of Moore’s Law, computer system architectures are trending toward more CPU cores. This trend has driven systems researchers to explore novel ways of utilizing this computational power for ... -
VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication
(University of Waterloo, 2023-01-06)Emoticons are indispensable in online communications. With users’ growing needs for more customized and expressive emoticons, recent messaging applications begin to support (limited) multi-modal emoticons:, enhancing ... -
Memory Power Consumption in Main-Memory Database Systems
(University of Waterloo, 2023-01-06)In main-memory database systems, memory can consume a substantial amount of power, comparable to that of the processors. However, existing memory power-saving mechanisms are much less effective than processor power ... -
On the Caching Schemes to Speed Up Program Reduction
(University of Waterloo, 2023-01-05)Program reduction is a highly practical, widely demanded technique to help debug language tools, such as compilers, interpreters and debuggers. Given a program P which exhibits a property ψ, conceptually, program reduction ... -
From Astrophysics of Galaxies to Binary Black Hole Mergers: Theoretical Modelling of the Gravitational-Wave Bias Parameter
(University of Waterloo, 2023-01-04)In the past few decades, the field of cosmology has become a fascinating field of study in physics. The computational advances and precision observational measurements such as Cosmic Microwave Background (CMB) measurements ... -
Soteria: An Approach for Detecting Multi-Institution Attacks
(University of Waterloo, 2023-01-02)We present Soteria, a data processing pipeline for detecting multi-institution attacks. Multi-institution attacks contact large number of potential targets looking for vulnerabilities that span multiple institutions. Soteria ...