Comments (1)
From the extended review that we got, a few additional points might be good to address:
- Double check the reference the reviewer provided for Prop 10 (Haussler & Opper, 1997, Kolchinsky & Tracey, 2017)
- Can we provide more experiments with the Bayesian estimator? Perhaps run it on the benchmark with BMM models---just to showcase its limitations and advantages?
- Clarify the takeaway from Figure 4
from bmi.
Related Issues (20)
- Add an MI estimator in Julia HOT 2
- Add MI estimators in R HOT 2
- Wrap the estimators to make them easier to run HOT 1
- Change the package API HOT 1
- Better tests for estimators
- Implement early stopping for neural estimators HOT 1
- Update github readme HOT 1
- Clean up imports HOT 1
- Minibenchmarks HOT 1
- Error raised during smoothing if training is too short
- Principled approach to handling NaNs HOT 1
- Benchmark versioning
- Improve the documentation
- Add difference of cross-entropies estimator
- Add the tasks based on fine distributions
- Add dropout to neural estimators
- Inconsistent `.mutual_information` method
- Rename fine distributions to BMMs
- Allow for Python 3.11 and 3.12
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from bmi.