Learning theory and algorithms

Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks

Multi-task Bias-Variance Trade-off Through Functional Constraints

Output-Dependent Gaussian Process State-Space Model

AN ONLINE ALGORITHM FOR CHANCE CONSTRAINED RESOURCE ALLOCATION

Learning with Multigraph Convolutional Filters

Performing Neural Architecture Search Without Gradients