Papers

Please add the link to paper under corresponding topic with a brief comment.

Create a new topic/subtopic of interest if not listed.

Gaussian Processes

[Gaussian process for machine learning] (http://www.gaussianprocess.org/gpml/chapters/RW.pdf) by Carl Rasmussen and Christopher Williams: great textbook covering gaussian process regression and classification.

Variational Inference: A Review for Statisticians by David M. Blei, Alp Kucukelbir, Jon D. McAuliffe: a well-written review for the basics of VI
Stochastic Variational Inference by Matt Hoffman, David M. Blei, Chong Wang, John Paisley: stochastic variational inference (with an application in Bayesian nonparametric topic modeling)
Auto-Encoding Variational Bayes by Diederik P Kingma, Max Welling: stochastic gradient VB (differentiable reparameterization of variational lower bound estimate)
Black box variational inference for state space models by Evan Archer, Il Memming Park, Lars Buesing, John Cunningham, Liam Paninski: Gaussian variational approximate posterior with block tri-diagonal covariance structure
Symmetric Variational Autoencoder and Connections to Adversarial Learning by Liqun Chen, Shuyang Dai, Yunchen Pu, Chunyuan Li, Qinliang Su, Lawrence Carin: variational autoencoder based on the symmetric Kullback-Leibler divergence

[Machine Theory of Mind] (https://arxiv.org/pdf/1802.07740.pdf) by Neil Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S.M. Ali Eslami, and Matthew Botvinick: an AI attempt at "modeling other minds"
[Learning with Opponent-Learning Awareness] (https://arxiv.org/pdf/1709.04326) by Jakob Foerster, Richard Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch: AI approach where the learning rule incorporates the anticipated learning of the other agents in the environment.
[Neural correlates of mentalizing-related computations during strategic interactions in humans] (http://www.pnas.org/content/pnas/early/2008/04/18/0711099105.full.pdf) by Alan Hampton, Peter Bossaerts, and John O'Doherty: computational modeling of fMRI data from humans playing a strategy game.