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Bayesian Methods and Mixture Models Research Faculty | GradNova

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Bayesian Methods and Mixture Models

Bayesian Methods and Mixture Models

11 faculty research Bayesian Methods and Mixture Models on GradNova.

S

Sanjoy Dasgupta

Computer Science

University of California San Diego

Algorithms and Data Compression

Bayesian Methods and Mixture Models

Data Management and Algorithms

Machine Learning and Algorithms

+1

E

Professor and HPI Director

Computer Science

University of California, Irvine

Advanced Image and Video Retrieval Techniques

Advanced Vision and Imaging

Bayesian Methods and Mixture Models

Bayesian Modeling and Causal Inference

+1

A

Alexander Ihler

Professor

Computer Science

University of California, Irvine

Bayesian Methods and Mixture Models

Bayesian Modeling and Causal Inference

Distributed Sensor Networks and Detection Algorithms

Error Correcting Code Techniques

+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

F

Professor

Computer Science

University of British Columbia

Artificial Intelligence & Machine Learning

Programming Languages

Statistical & Theoretical Machine Learning

Gaussian Processes and Bayesian Inference

+4

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

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

T

Associate Professor, Department of Computer Science

Computer Science

George Mason University

Human Aspects of Software Development

Human-Computer Interaction

Software Engineering

+3

D

Professor, Joint with Statistics

Computer Science

Columbia University

Scalable Bayesian Computation

Statistical Machine Learning

Bayesian Methods and Mixture Models

+4

F

Assistant Professor

Computer Science

Carnegie Mellon University

Advanced Database Systems and Queries

Bayesian Methods and Mixture Models

Bayesian Modeling and Causal Inference

Data Management and Algorithms

+1

S

Sivaraman Balakrishnan

Professor

Computer Science

Carnegie Mellon University

Bayesian Methods and Mixture Models

Machine Learning and Algorithms

Sparse and Compressive Sensing Techniques

Statistical Methods and Bayesian Inference

+1