# Andriy Mnih

According to our database

Collaborative distances:

^{1}, Andriy Mnih authored at least 26 papers between 2003 and 2019.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2019

Resampled Priors for Variational Autoencoders.

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Implicit Reparameterization Gradients.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Disentangling by Factorising.

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Filtering Variational Objectives.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Variational Memory Addressing in Generative Models.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models.

Proceedings of the 5th International Conference on Learning Representations, 2017

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Proceedings of the 5th International Conference on Learning Representations, 2017

Particle Value Functions.

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

MuProp: Unbiased Backpropagation for Stochastic Neural Networks.

Proceedings of the 4th International Conference on Learning Representations, 2016

Variational Inference for Monte Carlo Objectives.

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Neural Variational Inference and Learning in Belief Networks.

Proceedings of the 31th International Conference on Machine Learning, 2014

Deep AutoRegressive Networks.

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Learning word embeddings efficiently with noise-contrastive estimation.

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Taxonomy-Informed Latent Factor Models for Implicit Feedback.

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Learning Label Trees for Probabilistic Modelling of Implicit Feedback.

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A fast and simple algorithm for training neural probabilistic language models.

Proceedings of the 29th International Conference on Machine Learning, 2012

2009

Improving a statistical language model through non-linear prediction.

Neurocomputing, 2009

2008

A Scalable Hierarchical Distributed Language Model.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo.

Proceedings of the Machine Learning, 2008

Improving a statistical language model by modulating the effects of context words.

Proceedings of the ESANN 2008, 2008

2007

Visualizing Similarity Data with a Mixture of Maps.

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Probabilistic Matrix Factorization.

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Restricted Boltzmann machines for collaborative filtering.

Proceedings of the Machine Learning, 2007

Three new graphical models for statistical language modelling.

Proceedings of the Machine Learning, 2007

2003

Wormholes Improve Contrastive Divergence.

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003