no code implementations • 16 Apr 2022 • Ekaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe
We study the acceleration of the Local Polynomial Interpolation-based Gradient Descent method (LPI-GD) recently proposed for the approximate solution of empirical risk minimization problems (ERM).
2 code implementations • NeurIPS 2021 • Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
We develop a framework for comparing data manifolds, aimed, in particular, towards the evaluation of deep generative models.
1 code implementation • NeurIPS 2021 • Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
We propose a framework for comparing data manifolds, aimed, in particular, towards the evaluation of deep generative models.