agadetsky / pytorch-pl-variance-reduction Goto Github PK
View Code? Open in Web Editor NEW[AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
License: Apache License 2.0
[AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
License: Apache License 2.0
I am confused about the comments in estimators.py:
"in all computations (including those made by the user later), we don't
"want to backpropagate past "logits" into the model. We make a detached
"copy of logits and rebuild the graph from the detached copy to z
logits = logits.detach().require_grad(True)
if logits are parametrized by a network theta, then if you detach here then the network won't get updated right?
Hello,
Thanks a lot for your code. A really interesting work. Will the code for experiments on DAGs be released? It would be very nice to see them on some real problems like causal inference as given in the paper.
I tried to manually reproduce the results for 10, 20, 50 nodes but unfortunately failed to do so. If the code is not being released for it, can I kindly know some details regarding the implementation of accelerated proximal method (hyperparmeters, optimizer used, number of iterations run, learning rate etc.).
Thanks a lot for your help.
Can you add license information?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.