Yutian Chen

According to our database1, Yutian Chen authored at least 36 papers between 2009 and 2018.

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Bibliography

2018
Sample Efficient Adaptive Text-to-Speech.
CoRR, 2018

Probabilistic programming with programmable inference.
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions.
CoRR, 2017

Parallel Multiscale Autoregressive Density Estimation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Learn without Gradient Descent by Gradient Descent.
Proceedings of the 34th International Conference on Machine Learning, 2017

Profit-based file replication in data intensive cloud data centers.
Proceedings of the IEEE International Conference on Communications, 2017

Research on Portfolio Optimization Based on Affinity Propagation and Genetic Algorithm.
Proceedings of the 14th Web Information Systems and Applications Conference, 2017

A Survey on Visual Place Recognition for Mobile Robots Localization.
Proceedings of the 14th Web Information Systems and Applications Conference, 2017

2016
Sequential Tests for Large-Scale Learning.
Neural Computation, 2016

Herded Gibbs Sampling.
Journal of Machine Learning Research, 2016

Herding as a Learning System with Edge-of-Chaos Dynamics.
CoRR, 2016

Learning to Learn for Global Optimization of Black Box Functions.
CoRR, 2016

Scalable Discrete Sampling as a Multi-Armed Bandit Problem.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Data Preservation in Base Station-Less Sensor Networks: A Game Theoretic Approach.
Proceedings of the Game Theory for Networks, 2016

2015
Subsampling-Based Approximate Monte Carlo for Discrete Distributions.
CoRR, 2015

Distributed Inference for Dirichlet Process Mixture Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Variational Gaussian Process State-Space Models.
CoRR, 2014

Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior.
CoRR, 2014

Variational Gaussian Process State-Space Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
CoRR, 2013

Herded Gibbs Sampling
CoRR, 2013

Evidence Estimation for Bayesian Partially Observed MRFs.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Distributed and Adaptive Darting Monte Carlo through Regenerations.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior
CoRR, 2012

Super-Samples from Kernel Herding
CoRR, 2012

Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011
Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Parametric Herding.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Super-Samples from Kernel Herding.
Proceedings of the UAI 2010, 2010

Data Caching in Ad Hoc Networks Using Game-Theoretic Analysis.
Proceedings of the IEEE International Conference on Sensor Networks, 2010

On Herding and the Perceptron Cycling Theorem.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Automatic construction and visualization of address models.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Dynamical Products of Experts for Modeling Financial Time Series.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Bayesian Extreme Components Analysis.
Proceedings of the IJCAI 2009, 2009


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