no code implementations • 24 Feb 2014 • Ardavan Saeedi, Tejas D. Kulkarni, Vikash Mansinghka, Samuel Gershman
Like Monte Carlo, DPVI can handle multiple modes, and yields exact results in a well-defined limit.
no code implementations • NeurIPS 2010 • Samuel Gershman, Robert Wilson
Optimal control entails combining probabilities and utilities.
no code implementations • NeurIPS 2009 • Samuel Gershman, Ed Vul, Joshua B. Tenenbaum
While many perceptual and cognitive phenomena are well described in terms of Bayesian inference, the necessary computations are intractable at the scale of real-world tasks, and it remains unclear how the human mind approximates Bayesian inference algorithmically.
no code implementations • NeurIPS 2009 • Richard Socher, Samuel Gershman, Per Sederberg, Kenneth Norman, Adler J. Perotte, David M. Blei
We develop a probabilistic model of human memory performance in free recall experiments.