Theses most similar to those of author Campbell, Trevor D. J. (Trevor David Jan)
Multiagent planning with Bayesian nonparametric asymptotics (2013) read it
- Advisors: Gaiano, Nicholas R. (Nicholas Roger); Milton B. Adams
- Department of Aeronautics and Astronautics
- Advisor: Schmidt, Brian W. (Brian William)
- Department of Aeronautics and Astronautics
Semi-conditional planners for efficient planning under uncertainty with macro-actions
He, Ruijie (2010)
- Advisor: Gaiano, Nicholas R. (Nicholas Roger)
- Department of Aeronautics and Astronautics
Bayesian nonparametric learning with semi-Markovian dynamics
Johnson, Matthew J. (Matthew James) (2010)
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
- Advisors: Leslie Pack Kaelbling; Lozano-Pérez, Tomás
- Department of Electrical Engineering and Computer Science
- Advisor: Jonathan P. How
- Department of Aeronautics and Astronautics
Computationally efficient Gaussian Process changepoint detection and regression
Grande, Robert Conlin (2014)
- Advisor: Jonathan P. How
- Department of Aeronautics and Astronautics
Planning under uncertainty with Bayesian nonparametric models
Klein, Robert H. (Robert Henry) (2014)
- Advisor: Jonathan P. How
- Department of Aeronautics and Astronautics
- Advisor: Gaiano, Nicholas R. (Nicholas Roger)
- Department of Electrical Engineering and Computer Science
Multiagent planning and learning using random decompositions and adaptive representations
Üre, Nazim Kemal (2015)
- Advisor: Jonathan P. How
- Department of Aeronautics and Astronautics
Truncated Bayesian nonparametrics (2016) read it
Modeling and estimation in Gaussian graphical models : maximum-entropy methods and walk-sum analysis
Chandrasekaran, Venkat (2007)
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
Construction of nonlinear filter algorithms using the saddlepoint approximation
Amayo, Esosa O (2006)
- Advisors: Emery N. Brown; John L. Wyatt, Jr.
- Department of Electrical Engineering and Computer Science
- Advisor: Leslie P. Kaelbling
- Department of Electrical Engineering and Computer Science
- Advisor: Michael I. Jordan
- Department of Electrical Engineering and Computer Science
Stochastic methods for large-scale linear problems, variational inequalities, and convex optimization
Wang, Mengdi (2013)
- Advisor: Dimitri P. Bertsekas
- Department of Electrical Engineering and Computer Science
Embedded trees : estimation of Gaussian processes on graphs with cycles
Sudderth, Erik B. (Erik Blaine), 1977- (2002)
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
Probabilistic graphical models : distributed inference and learning models with small feedback vertex sets
Computer Science, fl. 2014-; Liu, Ying. Department of Electrical Engineerin (2014)
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
Continuous representations and models from random walk diffusion limits
Hashimoto, Tatsunori B. (Tatsunori Benjamin) (2016)
- Advisors: David K. Gifford; Jaakkola, Tommi S. (Tommi Sakari)
- Department of Electrical Engineering and Computer Science
Stochastic processes on graphs with cycles : geometric and variational approaches
Wainwright, Martin J. (Martin James), 1973- (2002)
- Advisors: Alan S. Willsky; Jaakkola, Tommi S. (Tommi Sakari)
- Department of Electrical Engineering and Computer Science