no code implementations • 13 Dec 2022 • Hongseok Namkoong, Yuanzhe Ma, Peter W. Glynn
The performance of decision policies and prediction models often deteriorates when applied to environments different from the ones seen during training.
1 code implementation • ICLR 2022 • Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller
We propose a new class of random feature methods for linearizing softmax and Gaussian kernels called hybrid random features (HRFs) that automatically adapt the quality of kernel estimation to provide most accurate approximation in the defined regions of interest.