๐ฃ๐ฎ๐ฝ๐ฒ๐ฟ ๐๐ฐ๐ฐ๐ฒ๐ฝ๐๐ฎ๐ป๐ฐ๐ฒ ๐๐ป๐ป๐ผ๐๐ป๐ฐ๐ฒ๐บ๐ฒ๐ป๐ :Improving TensorSketch Using Complex Random Variables has been accepted at the Conference on Uncertainty in Artificial Intelligence (UAI) 2026.
Paper Acceptance Announcement
Paper titled โImproving TensorSketch Using Complex Random Variablesโ has been accepted at Conference on Uncertainty in Artificial Intelligence (UAI), 2026.
Authors : Amit Sharma, Mohammad Azhar Khan, Rameshwar Pratap, Keegan Kang.
Congratulations to all the authors!
Key Highlight: We propose Complex-to-Real TensorSketch, a sketching method for high-dimensional data that achieves lower variance than classical TensorSketch while retaining the same time complexity.