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Markov Chains and Monte Carlo Methods

Markov Chains and Monte Carlo Methods

39 faculty research Markov Chains and Monte Carlo Methods on GradNova.

S
Block Copolymer Self-Assembly
Markov Chains and Monte Carlo Methods
Mechanical Behavior of Composites
Metal Forming Simulation Techniques
+1
S
Algorithmic Problems From Statistics and Machine Learning
Approximation Algorithms
Design of Fast Algorithms, Particularly for Graph Problems and Optimization
Numerical Linear Algebra
+7
M
Graphical Models
Machine Learning
Machine Learning Theory
Optimization Algorithms
+6
A
Advanced Control Systems Optimization
Control Systems and Identification
Formal Methods in Verification
Markov Chains and Monte Carlo Methods
+1
S
Sean Meyn

Robert C. Pittman Eminent Scholar Chair in Electrical Engineering

Department of Electrical & Computer Engineering

University of Florida

Markov Processes (with or Without Control)
Reinforcement Learning
Spectral Theory and Large Deviations
Stochastic Approximation
+5
D
David Zuckerman

Professor, Regents Chair in Computer Science

Computer Science

The University of Texas at Austin

Theoretical Computer Science
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Markov Chains and Monte Carlo Methods
N
Theoretical Computer Science
Quantum Many-Body Systems
Quantum Computing Algorithms and Architecture
Quantum Chaos and Dynamical Systems
+2
A
Bayesian Modeling and Causal Inference
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
+1
E
Approximate Counting and Sampling
Extremal Graph Theory
High-Dimensional Combinatorial Spaces
Probabilistic Combinatorics
+5
Y
Markov Chains and Monte Carlo Methods
Simulation Techniques and Applications
Advanced Graph Neural Networks
Privacy-Preserving Technologies in Data
+3
A
Advanced Bandit Algorithms Research
Markov Chains and Monte Carlo Methods
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
+1
N
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
+1
O
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
Statistical Methods and Inference
+1
R
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Markov Chains and Monte Carlo Methods
L
Optimization
Spectral Graph Theory
Theoretical Computer Science
Advanced Graph Theory Research
+2
A
Complexity and Algorithms in Graphs
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
Stochastic Processes and Statistical Mechanics
+1
S
Theoretical Computer Science
Complexity and Algorithms in Graphs
Advanced Graph Theory Research
Markov Chains and Monte Carlo Methods
+2
A
Andrew Read-McFarland

Assistant Professor of Computer Science (Instruction)

Computer Science

University of Rochester

Algorithms and Data Compression
History and Theory of Mathematics
Limits and Structures in Graph Theory
Markov Chains and Monte Carlo Methods
M
Michał Dereziński

Assistant Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Dimensionality Reduction
Machine Learning and Statistical Learning Theory
Randomized Numerical Linear Algebra
Scalable Stochastic and Distributed Optimization
+5
N
Nikhil Bansal

Patrick C. Fischer Professor of Theoretical Computer Science; Professor, EECS – Computer Science and Engineering; Director, Theory of Computation Lab

Computer Science and Engineering

University of Michigan

Discrete Mathematics
Machine Learning
Optimization
Theoretical Computer Science
+3
A
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Graph Theory and Applications
Markov Chains and Monte Carlo Methods
+1
A
Theory (thy)
Markov Chains and Monte Carlo Methods
Stochastic Processes and Statistical Mechanics
Theoretical and Computational Physics
+2
J
Biosystems & Computational Biology (bio)
Information, Data, Network, and Communication Sciences (idncs)
Theory (thy)
Stochastic Processes and Statistical Mechanics
+4
V
Artificial Intelligence (ai)
Control, Intelligent Systems, and Robotics (cir)
Information, Data, Network, and Communication Sciences (idncs)
Security (sec)
+6
2
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