From 2b503dc5a86875046ded0cd8c52b6e63b56ddad8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=99=88=E9=94=AE=E9=A3=9E?= <chrisjianfeichen@gmail.com>
Date: Sat, 19 Dec 2020 22:41:23 +0800
Subject: [PATCH] add sigs/mdp/roadmap_2021.md.

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+Technical Roadmap for 2021
+====
+
+Probabilistic Programming Layer
+----
+
+Distribution: 
+[D1] add support to multivariate continous distributions
+[D1.1] MultivariateNormal
+[D1.2] GumbelSoftmax
+[D1.3] Dirichlet
+Expected time: Q1
+
+Modeling Language:
+[M1] Based on the new support of MindSpore, extend the BayesianNet modeling capacity to general
+[M1.1] Implement with dictionaies
+[M1.2] Integrate StochasticTensor with Distribution
+Expected time: Q1
+
+[M2] Hybrid BayesianNet + Bijector modeling language
+[M2.1] Implement a bijector API, and integrate it with the existing bijector in distributions
+[M2.2] Implement affine coupling layer
+[M2.3] Reimplement the existing Glow / VFlow in the test folder with the new API
+Depends on: M1
+Expected time: Q3
+
+Inference algorithm:
+[I1] Support common black-box algorithms
+[I1.1] Importance sampling
+[I1.2] SGLD
+[I1.3] Reinforce
+[I1.4] HMC
+Depends on: M1
+Expected time: [I1.1]:Q1, [I1.2]:Q2, [I1.3]:Q3, [I1.4]:Q4
+
+Model and Toolbox Layer
+----
+
+[T1] Reimplement existing model and toolbox with the probabilistic programming layer
+[T1.1] Reimplement VAE
+[T1.2] Reimplement BNN
+[T1.3] Reimplement Uncertainty Estimation
+[T1.4] Reimplement Anormaly Detection
+Depends on: M1
+Expected time: Q2
+
+[T2] Implement more SOTA algorithms of toolbox
+[T2.1] BNN with SGLD for uncertainty estimation
+Depends on: M1, I1.2
+Expected time: Q2
+[T2.2] SWAG for uncertainty estimation
+Depends on: D1.1, M1
+Expected time: Q3
+
+[T3] Add more tools (e.g. generative models, anormaly detection)
+[T3.1] Anormaly detection
+Expected time: Q3
+
+Appliation
+----
+
+[A1] Apply our tools to representative applications
+Depends on: T2
+Expected time: Q4
+
+Miscellanous
+----
+
+Keep interacting with MindSpore to improve the coding style.
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-- 
Gitee