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Bayesian Modeling and Causal Inference

Bayesian Modeling and Causal Inference

47 faculty research Bayesian Modeling and Causal Inference on GradNova.

M
AI-Based Problem Solving and Planning
Auction Theory and Applications
Bayesian Modeling and Causal Inference
Logic, Reasoning, and Knowledge
+1
A
Bayesian Modeling and Causal Inference
Gaussian Processes and Bayesian Inference
Logic, Reasoning, and Knowledge
Machine Learning and Algorithms
+1
C
Advancements in Semiconductor Devices and Circuit Design
Bayesian Modeling and Causal Inference
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography
+1
D
Dave Tompkins

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
Bayesian Modeling and Causal Inference
Machine Learning and Algorithms
Natural Language Processing Techniques
Reinforcement Learning in Robotics
+1
D
Data Management
Data Mining
Formal Methods
Advanced Database Systems and Queries
+4
S
Computational Biology
Explainable AI
Machine Learning
Gene Expression and Cancer Classification
+4
H
Henry Kautz

Professor Emeritus of Computer Science

Computer Science

University of Rochester

Data Mining
Machine Learning
Mobile Computing
Logic, Reasoning, and Knowledge
+4
D
Machine Learning
Bayesian Modeling and Causal Inference
Adversarial Robustness in Machine Learning
Topic Modeling
+2
H
Analytical Chemistry and Sensors
Bayesian Modeling and Causal Inference
Electrochemical Analysis and Applications
Electrochemical Sensors and Biosensors
+1
J
Bayesian Modeling and Causal Inference
Computability, Logic, AI Algorithms
Data Management and Algorithms
Game Theory and Voting Systems
+1
P
AI-Based Problem Solving and Planning
Bayesian Modeling and Causal Inference
Reinforcement Learning in Robotics
Semantic Web and Ontologies
+1
Z
Advanced Control Systems Optimization
Autonomous Vehicle Technology and Safety
Bayesian Modeling and Causal Inference
Reinforcement Learning in Robotics
+1
R
Bayesian Modeling and Causal Inference
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
+1
Y
Bayesian Modeling and Causal Inference
Energy Efficient Wireless Sensor Networks
Mobile Ad Hoc Networks
Multi-Criteria Decision Making
+1
L
Lise C Getoor

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
Kalev Kask

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
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
+1
A
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Distributed Sensor Networks and Detection Algorithms
Error Correcting Code Techniques
+1
R
AI-Based Problem Solving and Planning
Bayesian Modeling and Causal Inference
Constraint Satisfaction and Optimization
Data Management and Algorithms
+1
S
Artificial Intelligence (ai)
Biosystems & Computational Biology (bio)
Control, Intelligent Systems, and Robotics (cir)
Bayesian Modeling and Causal Inference
+4
L
Theory (thy)
Complexity and Algorithms in Graphs
Logic, Reasoning, and Knowledge
Bayesian Modeling and Causal Inference
+2
F
Artificial Intelligence & Machine Learning
Programming Languages
Statistical & Theoretical Machine Learning
Gaussian Processes and Bayesian Inference
+4
E
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Markov Chains and Monte Carlo Methods
Stochastic Processes and Statistical Mechanics
+1
2
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