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Shai Shalevshwartz
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Support vector machine
Convex optimization
Complexity
Generalization error
Iterative method
Gradient descent
Hilbert space
Computational geometry
Vector space
Supervised learning
Optimization problem
Theory of computation
Machine learning
Symbolic computation
Algorithmics
Mathematical analysis
Artificial intelligence
Mathematical optimization
Online algorithm
Loss function
Kernel method
Modeling and simulation
Upper and lower bounds
Probability and statistics
Model of computation
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Support vector machine
Convex optimization
Complexity
Generalization error
Iterative method
Gradient descent
Hilbert space
Computational geometry
Vector space
Supervised learning
Optimization problem
Theory of computation
Machine learning
Symbolic computation
Algorithmics
Mathematical analysis
Artificial intelligence
Mathematical optimization
Online algorithm
Loss function
Kernel method
Modeling and simulation
Upper and lower bounds
Probability and statistics
Model of computation
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Shai Shalevshwartz
Toyota Technological Institute
116
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