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Markov Chains and Monte Carlo Methods Research Faculty | GradNova

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Markov Chains and Monte Carlo Methods

Markov Chains and Monte Carlo Methods

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

A

Assistant Professor

Computer Science

Yale University

Advanced Bandit Algorithms Research

Markov Chains and Monte Carlo Methods

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

+1

N

Nisheeth Vishnoi

A. Bartlett Giamatti Professor

Computer Science

Yale University

Advanced Graph Theory Research

Complexity and Algorithms in Graphs

Machine Learning and Algorithms

Markov Chains and Monte Carlo Methods

+1

R

Adjunct Professor

David R. Cheriton School of Computer Science

University of Waterloo

Advanced Graph Theory Research

Complexity and Algorithms in Graphs

Markov Chains and Monte Carlo Methods

L

Professor

David R. Cheriton School of Computer Science

University of Waterloo

Advanced Graph Theory Research

Complexity and Algorithms in Graphs

Markov Chains and Monte Carlo Methods

A

Aukosh Jagannath

Assistant Professor, Statistics and Actuarial Science

David R. Cheriton School of Computer Science

University of Waterloo

Complexity and Algorithms in Graphs

Markov Chains and Monte Carlo Methods

Random Matrices and Applications

Stochastic Processes and Statistical Mechanics

+1

S

Shayan Oveis Gharan

Professor

Computer Science

University of Washington

Theoretical Computer Science

Complexity and Algorithms in Graphs

Advanced Graph Theory Research

Markov Chains and Monte Carlo Methods

+2

S

Professor

Computer Science

University of Washington

Machine Learning

Security & Privacy

Stochastic Processes and Financial Applications

Advanced Proteomics Techniques and Applications

+3

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

Mehrdad Moharrami

Assistant Professor

Computer Science

University of Iowa

Computationally Efficient Algorithms for Learning and Economic Systems

Reinforcement Learning and Markov Decision Processes (mdps)

Complex Network Analysis Techniques

Game Theory and Applications

+3

J

Jennifer Chayes

Professor, Dean

Computer Science

University of California, Berkeley

Complex Network Analysis Techniques

Limits and Structures in Graph Theory

Markov Chains and Monte Carlo Methods

Stochastic Processes and Statistical Mechanics

+1

T

Trevor Campbell

Associate Member - Statistics

Computer Science

University of British Columbia

Bayesian Methods and Mixture Models

Gaussian Processes and Bayesian Inference

Markov Chains and Monte Carlo Methods

Statistical Methods and Bayesian Inference

+1

E

Professor

Computer Science

University of California, Santa Barbara

Bayesian Methods and Mixture Models

Bayesian Modeling and Causal Inference

Markov Chains and Monte Carlo Methods

Stochastic Processes and Statistical Mechanics

+1

K

Assistant Professor

Computer Science

The University of Texas at Austin

Machine Learning

Theoretical Computer Science

Markov Chains and Monte Carlo Methods

Sparse and Compressive Sensing Techniques

+3

C

Calvin Beideman

Instructional Assistant Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Advanced Graph Theory Research

Complexity and Algorithms in Graphs

Computational Geometry and Mesh Generation

Limits and Structures in Graph Theory

+1

P

Associate Professor

Computer Science

Purdue University System

Artificial Intelligence, Machine Learning, and Natural Language Processing

Theory of Computing, Algorithms, and Quantum Computing

Machine Learning and Algorithms

Complexity and Algorithms in Graphs

+3

K

Konstantinos Ameranis

Assistant Teaching Professor

Computer Science

Purdue University System

Advanced Graph Theory Research

Auction Theory and Applications

Complexity and Algorithms in Graphs

Markov Chains and Monte Carlo Methods

+1

S

Assistant Professor

Computer Science

Portland State University

Complexity and Algorithms in Graphs

Limits and Structures in Graph Theory

Markov Chains and Monte Carlo Methods

Random Matrices and Applications

+1

A

Associate Professor

Computer Science and Engineering

Pennsylvania State University

Bayesian Methods and Mixture Models

Machine Learning and Algorithms

Markov Chains and Monte Carlo Methods

Stochastic Processes and Statistical Mechanics

+1

S

Santosh Vempala

Frederick G. Storey Chair in Computing and…

College of Computing

Georgia Institute of Technology

Complexity and Algorithms in Graphs

Data Management and Algorithms

Markov Chains and Monte Carlo Methods

W

Associate Professor

College of Computing

Georgia Institute of Technology

Advanced Control Systems Optimization

Limits and Structures in Graph Theory

Markov Chains and Monte Carlo Methods

Stability and Control of Uncertain Systems

+1

Z

Assistant Professor

College of Computing

Georgia Institute of Technology

Advanced Graph Theory Research

Constraint Satisfaction and Optimization

Markov Chains and Monte Carlo Methods

Random Matrices and Applications

+1

G

Lecturer

College of Computing

Georgia Institute of Technology

Complex Network Analysis Techniques

Graph Theory and Applications

Markov Chains and Monte Carlo Methods

Random Matrices and Applications

+1

A

Associate Professor with Tenure

Computer Science

Carnegie Mellon University

Markov Chains and Monte Carlo Methods

Probability and Risk Models

Random Matrices and Applications

Y

Assistant Professor

Computer Science

University of California, Davis

Markov Chains and Monte Carlo Methods

Simulation Techniques and Applications