Alex K. Lew
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View article: Differentiating Metropolis-Hastings to Optimize Intractable Densities
Differentiating Metropolis-Hastings to Optimize Intractable Densities Open
We develop an algorithm for automatic differentiation of Metropolis-Hastings samplers, allowing us to differentiate through probabilistic inference, even if the model has discrete components within it. Our approach fuses recent advances in…
View article: Few-Shot Bayesian Imitation Learning with Logical Program Policies
Few-Shot Bayesian Imitation Learning with Logical Program Policies Open
Humans can learn many novel tasks from a very small number (1–5) of demonstrations, in stark contrast to the data requirements of nearly tabula rasa deep learning methods. We propose an expressive class of policies, a strong but general pr…
View article: Few-Shot Bayesian Imitation Learning with Logical Program Policies
Few-Shot Bayesian Imitation Learning with Logical Program Policies Open
Humans can learn many novel tasks from a very small number (1--5) of demonstrations, in stark contrast to the data requirements of nearly tabula rasa deep learning methods. We propose an expressive class of policies, a strong but general p…
View article: Few-Shot Bayesian Imitation Learning with Logic over Programs.
Few-Shot Bayesian Imitation Learning with Logic over Programs. Open