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Princeton University Doctoral Dissertations, 2011-2024
Computer Science
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Princeton University Doctoral Dissertations, 2011-2024
Computer Science
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Results 1-10 of 27
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Issue Date
Title
Author(s)
2012
Hierarchical Bayesian Modeling: Efficient Inference and Applications
Wang, Chong
2013
Applications of Machine Learning to Location Data
Kapicioglu, Berk
2016
Optimal and Adaptive Online Learning
Luo, Haipeng
2017
Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding
Ma, Tengyu
2022
Overcoming Sampling and Exploration Challenges in Deep Reinforcement Learning
Simmons-Edler, Riley
2019
Meta-Learning for Data and Processing Efficiency
Ravi, Sachin
2023
The Role Of Nonparametric Inference In Computational Models Of Categorization And Analogy
Battleday, Ruairidh McLennan
2021
Understanding Deep Learning via Analyzing Dynamics of Gradient Descent
Hu, Wei
2022
Neurosymbolic Machine Learning for Reasoning
Yang, Kaiyu
2022
Self-Supervised Metric Learning for Alignment of Petascale Connectomics Datasets
Popovych, Sergiy
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Author
1
Ash, Jordan
1
Battleday, Ruairidh McLennan
1
Beatson, Alex
1
Dubey, Rachit
1
Ghai, Udaya Bakhru
1
Gundersen, Gregory
1
Gupta, Arushi
1
Hu, Wei
1
Kapicioglu, Berk
1
Krueger, Paul
.
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Subject
2
online learning
2
optimization
2
Psychology
2
Reinforcement Learning
1
active learning
1
Artificial Intelligence
1
audio enhancement
1
Automated theorem proving
1
Bayesian inference
1
bayesian inference
.
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Date issued
21
2020 - 2024
6
2012 - 2019