Andriy Mnih
PhD Student
Machine Learning Group
Department of Computer Science
University of Toronto
Ontario, Canada
email: Can be easily derived from the URL for this page.
About me
I am a PhD Student in the Machine Learning Group, working with Geoffrey Hinton.
Research interests
- statistical language modelling
- collaborative filtering
- undirected graphical models
- large-scale Bayesian learning methods
Publications
A Scalable Hierarchical Distributed Language Model
Andriy Mnih & Geoffrey Hinton
Advances in Neural Information Processing Systems 21 (NIPS 2008)
[pdf]
Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo
Ruslan Salakhutdinov & Andriy Mnih
International Conference on Machine Learning 2008 (ICML 2008)
[pdf]
Improving a Statistical Language Model Through Non-linear Prediction
Andriy Mnih, Zhang Yuecheng & Geoffrey Hinton
NeuroComputing, 72:7-9, 2009
Improving a Statistical Language Model by Modulating the Effects of Context Words
Zhang Yuecheng, Andriy Mnih & Geoffrey Hinton
European Symposium on Artificial Neural Networks 2008 (ESANN 2008)
Probabilistic Matrix Factorization
Ruslan Salakhutdinov & Andriy Mnih
Advances in Neural Information Processing Systems 20 (NIPS 2007)
[pdf]
Three New Graphical Models for Statistical Language Modelling
Andriy Mnih & Geoffrey Hinton
International Conference on Machine Learning 2007 (ICML 2007)
[pdf]
Restricted Boltzmann Machines for Collaborative Filtering
Ruslan Salakhutdinov, Andriy Mnih, & Geoffrey Hinton
International Conference on Machine Learning 2007 (ICML 2007)
[pdf]
Visualizing Similarity Data with a Mixture of Maps
James Cook, Ilya Sutskever, Andriy Mnih & Geoffrey Hinton
AI and Statistics 2007 (AISTATS 2007)
Learning Nonlinear Constraints with Contrastive Backpropagation
Andriy Mnih & Geoffrey Hinton
International Joint Conference on Neural Networks 2005 (IJCNN 2005)
Wormholes Improve Contrastive Divergence
Geoffrey Hinton, Max Welling, & Andriy Mnih
Advances in Neural Information Processing Systems 16 (NIPS 2003)