Keeley, Stephen

6 publications

UAI 2024 Response Time Improves Gaussian Process Models for Perception and Preferences Michael Shvartsman, Benjamin Letham, Eytan Bakshy, Stephen Keeley

AAAI 2023 A Semi-Parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman

ICML 2020 Efficient Non-Conjugate Gaussian Process Factor Models for Spike Count Data Using Polynomial Approximations Stephen Keeley, David Zoltowski, Yiyi Yu, Spencer Smith, Jonathan Pillow

NeurIPS 2020 Identifying Signal and Noise Structure in Neural Population Activity with Gaussian Process Factor Models Stephen Keeley, Mikio Aoi, Yiyi Yu, Spencer Smith, Jonathan W Pillow

AAAI 2020 Model AI Assignments 2020 Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett

NeurIPS 2017 Gaussian Process Based Nonlinear Latent Structure Discovery in Multivariate Spike Train Data Anqi Wu, Nicholas A. Roy, Stephen Keeley, Jonathan W Pillow