1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Robust Loss Functions for Training Decision Trees with Noisy Labels
Jonathan Wilton, Nan Ye
We consider training decision trees using noisily labeled data, focusing on loss functions that can lead to robust learning algorithms. Our contributions are threefold. First, we o…
cs.AI2023
Adaptive Discretization using Voronoi Trees for Continuous POMDPs
Marcus Hoerger, Hanna Kurniawati, Dirk Kroese +1
Solving continuous Partially Observable Markov Decision Processes (POMDPs) is challenging, particularly for high-dimensional continuous action spaces. To alleviate this difficulty,…