2 code implementations • 27 May 2023 • Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke Olson, Matthew West
Our numerical results confirm the existence of the aforementioned bias in practice, and also show that our proposed delayed target approach can lead to accurate solutions with comparable quality to ones estimated with a large number of samples.
1 code implementation • 23 May 2023 • Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha
Protein design, a grand challenge of the day, involves optimization on a fitness landscape, and leading methods adopt a model-based approach where a model is trained on a training set (protein sequences and fitness) and proposes candidates to explore next.
1 code implementation • 30 May 2022 • Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Matthew West
In this paper, we present a policy gradient method that avoids exploratory noise injection and performs policy search over the deterministic landscape.
2 code implementations • ICLR 2022 • Saba Ghaffari, Ehsan Saleh, David Forsyth, Yu-Xiong Wang
In this work, we demonstrate the effectiveness of Firth bias reduction in few-shot classification.