Nan Ye

A Boosting Algorithm for Positive-Unlabeled Learning

2022 · arXiv (Cornell University)

Positive-unlabeled (PU) learning deals with binary classification problems when only positive (P) and unlabeled (U) data are available. Many recent PU methods are based on neural networks, but little has been done to develop boosting …

Adaptive Discretization using Voronoi Trees for Continuous-Action POMDPs

2022 · arXiv (Cornell University)

Solving Partially Observable Markov Decision Processes (POMDPs) with continuous actions is challenging, particularly for high-dimensional action spaces. To alleviate this difficulty, we propose a new sampling-based online POMDP solver, called Adaptive Discretization using Voronoi Trees …