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Bayesian Methods and Mixture Models

Bayesian Methods and Mixture Models

26 faculty research Bayesian Methods and Mixture Models on GradNova.

C
Bayesian Inference
Deep Learning
Machine Learning
Optimization
+5
D
Computational Biology and Bioinformatics
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Wildlife Ecology and Conservation
+2
M
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Ethics and Social Impacts of AI
Machine Learning and Algorithms
+1
J
Joydeep Ghosh

Professor, Schlumberger Centennial Chair in Electrical Engineering

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced Clustering Algorithms Research
Bayesian Methods and Mixture Models
Face and Expression Recognition
Neural Networks and Applications
+1
M
Bayesian Methods and Mixture Models
Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Fault Detection and Control Systems
+1
D
Diana Cai

Assistant Professor of Computer Science

Computer Science

Cornell University

Artificial Intelligence (ai)
Bayesian Analysis
Data Mining
Machine Learning
+7
B
Advanced Image and Video Retrieval Techniques
Bayesian Methods and Mixture Models
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
+1
R
Advanced Clustering Algorithms Research
Bayesian Methods and Mixture Models
Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
+1
M
Marina Meila

Professor, and Canada Research Chair in Reliable Structure Discovery

David R. Cheriton School of Computer Science

University of Waterloo

Analysis of Preferences, With Applications to Peer Review and Social Choice
Geometric Data Analysis, Foundations of Clustering, Validation and Guarantees in Unsupervised Learning
Intersection of Combinatorics, Computation and Statistics
Machine Learning for the Sciences
+5
S
Algorithms and Data Compression
Bayesian Methods and Mixture Models
Data Management and Algorithms
Machine Learning 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
T
Bayesian Methods and Mixture Models
Gaussian Processes and Bayesian Inference
Markov Chains and Monte Carlo Methods
Statistical Methods and Bayesian Inference
+1
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
M
Clinical Informatics: Electronic Health Record Analysis
Machine Learning: Probabilistic Models, Bayesian Inference, Variational Methods, Time-Series Analysis, Semi-Supervised Learning
Machine Learning in Healthcare
Metal Complexes Synthesis and Properties
+3
E
Emily Fox

Professor of Statistics and of Computer Science

Computer Science

Stanford University

Congenital Diaphragmatic Hernia Studies
Congenital Heart Defects Research
Mesenchymal Stem Cell Research
Neonatal Respiratory Health Research
+6
R
Machine Learning
Gaussian Processes and Bayesian Inference
Bayesian Methods and Mixture Models
Machine Learning and Algorithms
+2
A
Bayesian Methods and Mixture Models
Markov Chains and Monte Carlo Methods
Stochastic Processes and Statistical Mechanics
Theoretical and Computational Physics
+1
A
Anru Zhang

Professor of Biostatistics & Bioinformatics, Associate Professor of Biostatistics & Bioinformatics and Associate Professor of Computer Science

Computer Science

Duke University

Automotive and Human Injury Biomechanics
Effects of Vibration on Health
Traffic Control and Management
Sparse and Compressive Sensing Techniques
+4
F
Florentina Bunea

Professor of Statistics and Data Science

Computer Science

Cornell University

Asymptotic Statistics
High-Dimensional Statistical Inference
Latent Space Estimation
Machine Learning
+11
D
Computational Biology
Genomics.
Machine Learning
RNA Research and Splicing
+4
D
Algorithmic Statistics
Machine Learning
Privacy
Machine Learning and Algorithms
+4
D
David Blei

Professor, Joint with Statistics

Computer Science

Columbia University

Scalable Bayesian Computation
Statistical Machine Learning
Topic Models
Bayesian Methods and Mixture Models
+4
F
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Complexity and Algorithms in Graphs
Data Management and Algorithms
+1
2
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