Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hindsight Network Credit Assignment   We present Hindsight Network Credit Assignment (HNCA), a novel learning
method for stochastic neural networks, which works by assigning credit to each
neuron's stochastic output based on how it influences the output of its
immediate children in the network. We prove that HNCA provides unbiased
gradient estimates while reducing variance compared to the REINFORCE estimator.
We also experimentally demonstrate the advantage of HNCA over REINFORCE in a
contextual bandit version of MNIST. The computational complexity of HNCA is
similar to that of backpropagation. We believe that HNCA can help stimulate new
ways of thinking about credit assignment in stochastic compute graphs.

18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
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The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
16
The categories of this paper are: stat