๐—ฃ๐—ฎ๐—ฝ๐—ฒ๐—ฟ ๐—”๐—ฐ๐—ฐ๐—ฒ๐—ฝ๐˜๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—”๐—ป๐—ป๐—ผ๐˜‚๐—ป๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜ :Improving TensorSketch Using Complex Random Variables has been accepted at the Conference on Uncertainty in Artificial Intelligence (UAI) 2026.

Paper Acceptance Announcement

Paper titled โ€œImproving 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.