Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation

no code implementations • 19 May 2024 • Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn

To overcome this challenge, we propose a conditionally-conjugate Gaussian process factor analysis (ccGPFA) resulting in both analytically and computationally tractable inference for modeling neural activity from spike count data.

Data Augmentation Gaussian Processes +1

Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization

1 code implementation • 15 Mar 2024 • Mohammad Pedramfar, Yididiya Y. Nadew, Christopher J. Quinn, Vaneet Aggarwal

This paper introduces unified projection-free Frank-Wolfe type algorithms for adversarial continuous DR-submodular optimization, spanning scenarios such as full information and (semi-)bandit feedback, monotone and non-monotone functions, different constraints, and types of stochastic queries.