Fixed-point algorithms for learning determinantal point processes
1.5 Estimates and Fermi Calculations
Bayesian optimization and its applications for autonomous vehicles
Entropy evaluation based on confidence intervals of frequency estimates: Application to the learning of decision trees
Algorithms for Lipschitz Learning on Graphs
Algorithms and Data Structures
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
Algorithms for Lipschitz Learning on Graphs
Panel on Machine Learning for Large Scale Transportation Systems
Machine learning for environmental and life sciences