1 code implementation • 26 Dec 2023 • Qiang Fu, Ashia Wilson
We propose a new method called the N-particle underdamped Langevin algorithm for optimizing a special class of non-linear functionals defined over the space of probability measures.
1 code implementation • 14 Dec 2023 • Vishwak Srinivasan, Andre Wibisono, Ashia Wilson
This algorithm adds an accept-reject filter to the Markov chain induced by a single step of the Mirror Langevin algorithm (Zhang et al., 2020), which is a basic discretisation of the Mirror Langevin dynamics.
1 code implementation • 18 Sep 2023 • Zoe De Simone, Angie Boggust, Arvind Satyanarayan, Ashia Wilson
Generative text-to-image (TTI) models produce high-quality images from short textual descriptions and are widely used in academic and creative domains.
1 code implementation • 2 Mar 2020 • Ashia Wilson, Maximilian Kasy, Lester Mackey
Cross-validation (CV) is a popular approach for assessing and selecting predictive models.
1 code implementation • NeurIPS 2019 • Ashia Wilson, Lester Mackey, Andre Wibisono
We also introduce a new first-order algorithm, called rescaled gradient descent (RGD), and show that RGD achieves a faster convergence rate than gradient descent provided the function is strongly smooth -- a natural generalization of the standard smoothness assumption on the objective function.
Optimization and Control