4 papers
CAAL: Contextual Bandits based Online Hand-Craft Active Learning Strategy Selection
Shao-An Yin, Jiacong Li, Tianpei Xie +3
The challenge with active learning algorithms is the uncertainty of the statistical distribution of unlabeled data, making it difficult to choose the best hand-crafted strategy. To…
Distributed GNEP Algorithms without Multiplier Sharing and Applications to Multi-Robot Coordination and Contextual Bandit-Based Active Learning
Shao-An Yin
Recent advances in artificial intelligence have expanded the focus from classical optimization to include equilibrium analysis in noncooperative games. Many such games involve shar…
Chunked TabPFN: Exact Training-Free In-Context Learning for Long-Context Tabular Data
Renat Sergazinov, Shao-An Yin
TabPFN v2 achieves better results than tree-based models on several tabular benchmarks, which is notable since tree-based models are usually the strongest choice for tabular data.…
Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL
Renat Sergazinov, Jing Wu, Shao-An Yin
While random Fourier features are a classic tool in kernel methods, their utility as a pre-processing step for deep learning on tabular data has been largely overlooked. Motivated…