We invite contributions of two types:
Systems developers are invited to participate in a spotlight session and panel discussion on
Contributors are invited to submit an abstract outlining the design goals of the system, its intended use cases and modeling syntax. We recommend that these abstracts include at least one code example that is explained in detail.
We invite research abstracts on the following topics, to be presented as posters, contributed talks, or as short spotlight talks:
Inference in probabilistic programming systems and broad model families:
Learning to infer: Using discriminative methods to amortize probabilistic inference (Variational Autoencoders, Deep Latent Gaussian Models, Restricted Boltzmann Machines, Neural Network based proposals),
Model specification languages that use black box techniques (probabilistic programming languages, neural network libraries such as Torch, Theano, Caffe),
Applications to vision, speech, reinforcement learning, motor control, language learning.
Submitted abstracts should be 2–4 pages in NIPS format, sent to firstname.lastname@example.org before October 16 2015 (midnight PDT). Submissions need not be anonymized. Additional space beyond the fourth page is permitted for references, if required.
Authors will be notified of acceptance and presentation type (poster, spotlight, talk) by November 2 2015. Final versions of submitted abstracts are due 2 December 2015 and will be distributed on the workshop website.
We gratefully acknowledge the support of NVIDIA Corporation for sponsoring the best poster award.