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Machine Learning and Algorithms

Machine Learning and Algorithms

115 faculty research Machine Learning and Algorithms on GradNova.

N
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
+1
A
Bayesian Modeling and Causal Inference
Gaussian Processes and Bayesian Inference
Logic, Reasoning, and Knowledge
Machine Learning and Algorithms
+1
D
Discrete Mathematics
Probability Theory
Theoretical Computer Science
Advanced Graph Theory Research
+4
C
Cognitive Modeling
Data Mining and Its Applications
Machine Learning
Machine Learning and Data Classification
+4
A
Ai4science
Decision-Making Under Uncertainty
Deep Learning
Uncertainty Quantification
+5
R
Advanced Bandit Algorithms Research
Advanced Multi-Objective Optimization Algorithms
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
+1
S
Constraint Satisfaction and Optimization
Imbalanced Data Classification Techniques
Machine Learning and Algorithms
Robotic Path Planning Algorithms
+1
T
Advanced Bandit Algorithms Research
Adversarial Robustness in Machine Learning
Machine Learning and Algorithms
Reinforcement Learning in Robotics
+1
D
Complexity and Algorithms in Graphs
Computability, Logic, AI Algorithms
Cryptography and Data Security
Machine Learning and Algorithms
+1
J
Machine Learning and Algorithms
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Traffic Control and Management
+1
Y
Complex Network Analysis Techniques
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
+1
P
Bayesian Modeling and Causal Inference
Machine Learning and Algorithms
Natural Language Processing Techniques
Reinforcement Learning in Robotics
+1
A
Ashwin Nayak

Professor, Combinatorics and Optimization and Quantum Computing

David R. Cheriton School of Computer Science

University of Waterloo

Computability, Logic, AI Algorithms
Machine Learning and Algorithms
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography
+1
G
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Machine Learning and Algorithms
Privacy-Preserving Technologies in Data
+1
M
Ethics and Social Impacts of AI
Information Retrieval and Search Behavior
Machine Learning and Algorithms
Software Engineering Research
+1
E
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Cryptography and Data Security
Machine Learning and Algorithms
+1
J
Ethics & Fairness
Human-Centered AI
Machine Learning
Auction Theory and Applications
+4
K
Machine Learning
Advanced Bandit Algorithms Research
Machine Learning and Algorithms
Machine Learning and Data Classification
+2
B
Computer Vision
Machine Learning
Robotics
Reinforcement Learning in Robotics
+4
P
Quantum Computing
Theoretical Computer Science
Complexity and Algorithms in Graphs
Formal Methods in Verification
+3
B
Parameterized Algorithms and Complexity
Structural Graph Theory
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
+3
A
Algorithms (approximation / Online Algorithms, Graph Algorithms)
Artificial Intelligence (ml: Theory and Modeling)
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
+3
M
Formal Methods in Verification
Machine Learning and Algorithms
Software Engineering Research
Software System Performance and Reliability
+1
W
Advanced Bandit Algorithms Research
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
2

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