Polynomial neural networks, Tensor decomposition, Tensor analysis, Generative models, Machine learning
Machine learning Kernel methods Learning Theory
Large-scale and distributed machine learning, Optimization, Privacy/security, Reinforcement learning, Communications/networking
Mathematical optimization Algorithms, Nonlinear analysis, Machine Learning
Continuous optimization: theory analgorithms, Nonconvex optimization, First order methods, Machine learning
Machine Learning, Optimization, Signal Processing, Information Theory
Convex optimization, Stochastic optimization, Machine learning, Image processing,
Signal Processing, Machine Learning, Optimization, Numerical Analysis,
Learning Theory, Compressed Sensing, Statistics, Optimization,
Convex Analysis Partial Differential Equations Optimisation Image and Signal Processing
Information theory, Machine learning, High-dimensional statistics, Signal processing
Theory and Algorithms for Convex Optimization, Convex Optimization in Machine Learning and Compressive Sensing, Sequential Convex Programming (SCP), Parametric and Online Optimization, Numerical Methods for Variational Inequality and Equilibrium Problems
Model-based machine learning and compressive sensing, Convex and discrete optimization
Compressed sensing (CS), Machine Learning, Random matrix theory with applications to CS and sparse approximation