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Bayesian Modeling and Causal Inference Research Faculty | GradNova

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Bayesian Modeling and Causal Inference

Bayesian Modeling and Causal Inference

46 faculty research Bayesian Modeling and Causal Inference on GradNova.

A

Assistant Professor

Computer Science

Yale University

Bayesian Modeling and Causal Inference

Gaussian Processes and Bayesian Inference

Logic, Reasoning, and Knowledge

Machine Learning and Algorithms

+1

C

Assistant Professor

Computer Science

University of Wisconsin–Madison

Advancements in Semiconductor Devices and Circuit Design

Bayesian Modeling and Causal Inference

Quantum Computing Algorithms and Architecture

Quantum Information and Cryptography

+1

D

Associate Professor, Teaching Stream and Associate Director, Undergraduate Studies

David R. Cheriton School of Computer Science

University of Waterloo

Advanced Database Systems and Queries

Bayesian Modeling and Causal Inference

Constraint Satisfaction and Optimization

Data Management and Algorithms

+1

P

Professor

David R. Cheriton School of Computer Science

University of Waterloo

Bayesian Modeling and Causal Inference

Machine Learning and Algorithms

Natural Language Processing Techniques

Reinforcement Learning in Robotics

+1

D

Professor

Computer Science

University of Washington

Data Management

Advanced Database Systems and Queries

+4

S

Professor

Computer Science

University of Washington

Computational Biology

Machine Learning

Gene Expression and Cancer Classification

+4

H

Professor Emeritus of Computer Science

Computer Science

University of Rochester

Machine Learning

Mobile Computing

Logic, Reasoning, and Knowledge

+4

D

Professor

Computer Science

University of Oregon

Machine Learning

Bayesian Modeling and Causal Inference

Adversarial Robustness in Machine Learning

+2

H

Professor

Computer Science

University of New Brunswick

Analytical Chemistry and Sensors

Bayesian Modeling and Causal Inference

Electrochemical Analysis and Applications

Electrochemical Sensors and Biosensors

+1

J

Associate Chair, Professor

Computer Science

University of Kentucky

Bayesian Modeling and Causal Inference

Computability, Logic, AI Algorithms

Data Management and Algorithms

Game Theory and Voting Systems

+1

P

Professor

Computer Science

University of Georgia

AI-Based Problem Solving and Planning

Bayesian Modeling and Causal Inference

Reinforcement Learning in Robotics

Semantic Web and Ontologies

+1

Z

Zachary Sunberg

Assistant Professor

Computer Science

University of Colorado Boulder

Advanced Control Systems Optimization

Autonomous Vehicle Technology and Safety

Bayesian Modeling and Causal Inference

Reinforcement Learning in Robotics

+1

R

Rebecca Morrison

Assistant Professor

Computer Science

University of Colorado Boulder

Bayesian Modeling and Causal Inference

Gaussian Processes and Bayesian Inference

Model Reduction and Neural Networks

Probabilistic and Robust Engineering Design

+1

Y

Assoc Professor

Computer Science

University of Cincinnati

Bayesian Modeling and Causal Inference

Energy Efficient Wireless Sensor Networks

Mobile Ad Hoc Networks

Multi-Criteria Decision Making

+1

L

Distinguished Professor, Jack Baskin Chair in Computer Engineering

Computer Science and Engineering

University of California, Santa Cruz

Advanced Graph Neural Networks

Bayesian Modeling and Causal Inference

Complex Network Analysis Techniques

Data Quality and Management

+1

K

Continuing Lecturer and Associate Project Scientist

Computer Science

University of California, Irvine

AI-Based Problem Solving and Planning

Bayesian Modeling and Causal Inference

Constraint Satisfaction and Optimization

Data Management 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

R

Distinguished Professor

Computer Science

University of California, Irvine

AI-Based Problem Solving and Planning

Bayesian Modeling and Causal Inference

Constraint Satisfaction and Optimization

Data Management and Algorithms

+1

S

Stuart J. Russell

Professor

Computer Science

University of California, Berkeley

Artificial Intelligence (ai)

Biosystems & Computational Biology (bio)

Control, Intelligent Systems, and Robotics (cir)

Bayesian Modeling and Causal Inference

+4

L

Assistant Professor

Computer Science

University of California, Berkeley

Complexity and Algorithms in Graphs

Logic, Reasoning, and Knowledge

Bayesian Modeling and Causal Inference

+2

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

Y

Assistant Professor

Computer Science

University of California, Santa Barbara

Advanced Research in Systems and Signal Processing

Bayesian Modeling and Causal Inference

Reinforcement Learning in Robotics