PhD students

Machine Learning, Neuroscience

Adversarial Machine Learning Robustness

Optimization, Algorithms and Randomness.

Network Science, Graph Neural Networks, Graph Representation, Graph Prediction, Graph Generation

Research InterestsConvex/Non-Convex OptimizationMachine LearningPublications 

Bayesian Optimization, Machine Learning

Research Interests:Adversarial TrainingRobustness VerificationOptimizationPublications

Reinforcement Learning, Imitation Learning, Optimization

Deep learning Over-parametrized models

Imitation Learning Theory, Reinforcement Learning.

Distributed machine learning, Optimization, Communication Systems.

Machine Learning, Deep Learning Theory