-
Ph.D. Dissertation, 2013
- Herding: Driving Deterministic Dynamics to Learn and
Sample Probabilistic Models. pdf
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Book Chapters
- Yutian Chen and Max Welling
Herding as a Learning System with Edge-of-Chaos Dynamics.
In: Perturbations, Optimization, and Statistics. T. Hazan, G. Papandreou and D. Tarlow (Eds) 2016.
Chapter,
Book
- Yutian Chen, Andrew Gelfand and Max Welling
Herding for Structured Prediction.
In: Advanced Structured Prediction. S. Nowozin, P. Gehler, J.
Jancsary, C. Lampert (Eds) 2014.
Chapter,
Book
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Journal Papers
- D. Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang, A. Guez, T. Hubert,
L. Baker, M. Lai, A. Bolton, Y. Chen, T. Lillicrap, F. Hui, L. Sifre, G. van den Driessche,
T. Graepel, and D. Hassabis
Mastering the game of go without human knowledge..
Nature, 550(7676):354–359, October 2017.
link
- Yutian Chen, Luke Bornn, Nando de Freitas, Mareija Eskelin,
Jing Fang and Max Welling
Herded Gibbs Sampling.
Journal of Machine Learning Research (JMLR), 17(10): 1−29, 2016.
link
pdf
- Anoop Korattikara, Yutian Chen and Max Welling
Sequential Tests for Large-Scale Learning.
Neural Computation, 28.1: 45-70, 2016.
link
pdf
- Meng Zhu, Chang-song Liu, Yutian Chen and Yan-ming Zou
Combined Recognition System for Handwritten Pinyin.
Computer Engineering, 36(7): 170-172, 2010.
pdf
-
Conference/Workshop Papers/Technical Reports
- Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, Yutian Chen.
Introducing Symmetries to Black Box Meta Reinforcement Learning.
Under review.
arXiv
- Yutian Chen, Liyuan Xu, Caglar Gulcehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet.
On Instrumental Variable Regression for Deep Offline Policy Evaluation.
Under review.
arXiv
- Michalis K. Titsias, Jakub Sygnowski, Yutian Chen.
Sequential Changepoint Detection in Neural Networks with Checkpoints.
Under review.
arXiv
- Ksenia Konyushkova*, Yutian Chen*, Tom Le Paine, Caglar Gulcehre, Cosmin Paduraru, Daniel J Mankowitz, Misha Denil, Nando de Freitas. (*: equal contribution)
Active Offline Policy Selection.
Accepted by Neural Information Processing Systems (NeurIPS), 2021.
arXiv
- Caglar Gulcehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew Hoffman, Razvan Pascanu, Nando de Freitas.
Regularized Behavior Value Estimation.
Technical report, 2021.
arXiv
- Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, ziyu wang, Alexander Novikov, Mengjiao Yang, Michael R Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Thomas Paine.
Benchmarks for Deep Off-Policy Evaluation.
International Conference on Learning Representations (ICLR), 2021.
open review
arXiv
- Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton.
Learning Deep Features in Instrumental Variable Regression.
International Conference on Learning Representations (ICLR), 2021.
open review
arXiv
- Yiling Huang, Yutian Chen, Jason Pelecanos, Quan Wang.
Synth2Aug: Cross-domain Speaker Recognition with TTS Synthesized Speech..
IEEE Spoken Language Technology Workshop (IEEE SLT), 2021.
- Yi Yang, Brendan Shillingford, Yannis Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas.
Large-scale multilingual audio visual dubbing.
Tech report, 2020.
arXiv
- Yutian Chen, Abram L. Friesen, Feryal Behbahani, Arnaud Doucet, David Budden,
Matthew W. Hoffman, Nando de Freitas.
Modular Meta-Learning with Shrinkage.
Neural Information Processing Systems (NeurIPS), 2020 as a spotlight talk.
arXiv
- Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed,
Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre,
Aa ̈ron van den Oord, Oriol Vinyals, and Nando de Freitas.
Sample Efficient Adaptive Text-to-Speech.
International Conference on Learning Representations (ICLR), 2019.
open review
arXiv
- Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, and Nando de Freitas
Bayesian Optimization in AlphaGo.
Technical report, 2018.
arXiv
- Vikash K. Mansinghka, Ulrich Schaechtle, Shivam Handa, Alexey Radul, Yutian Chen, and Martin Rinard
Probabilistic Programming with Programmable Inference.
In Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 2018. ACM, New York, NY, USA, 603-616.
link
pdf
- Scott Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami,
Danilo Rezende, Oriol Vinyals, and Nando de Freitas
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions.
International Conference on Learning Representations (ICLR), 2018.
open review
arXiv
- Scott Reed, Aäron van den Oord, Nal Kalchbrenner,
Sergio Gómez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, and Nando de Freitas
Parallel Multiscale Autoregressive Density Estimation.
International Conference on Machine Learning (ICML), 2017.
pdf
supplementary
- Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo,
Misha Denil, Timothy P. Lillicrap, Matt Botvinick and Nando de Freitas
Learning to Learn without Gradient Descent by Gradient Descent.
International Conference on Machine Learning (ICML), 2017.
pdf
- Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo,
Misha Denil, Timothy P. Lillicrap and Nando de Freitas
Learning to Learn for Global Optimization of Black Box Functions.
Deep Reinforcement Learning Workshop, NIPS 2016.
arXiv
pdf
- Yutian Chen and Zoubin Ghahramani
Scalable Discrete Sampling as a Multi-Armed Bandit Problem.
International Conference on Machine Learning (ICML), 2016.
link
pdf
supplmentary
- Yutian Chen, Vikash Mansinghka and Zoubin Ghahramani
Sublinear Approximate Inference for Probabilistic Programs.
Technical report, 2015. arXiv
- Yarin Gal, Yutian Chen and Zoubin Ghahramani
Latent Gaussian Processes for Distribution Estimation of
Multivariate Categorical Data.
International Conference on Machine Learning (ICML), 2015.
link
pdf
supplementary
- Hong Ge, Yutian Chen, Moquan Wan and Zoubin Ghahramani
Distributed Inference for Dirichlet Process Mixture Models.
International Conference on Machine Learning (ICML), 2015. link
pdf
- Roger Frigola, Yutian Chen and Carl E. Rasmussen
Variational Gaussian Process State-Space Models.
Neural Information Processing Systems (NIPS), 2014. pdf
- Anoop Korattikara, Yutian Chen and Max Welling
Austerity in MCMC Land: Cutting the Metropolis-Hastings
Budget.
International Conference on Machine Learning (ICML), 2014. pdf
supplementary
Version at JSM, 2013: pdf
Version at NIPS Workshop: Pobabilistic Models for Big Data,
2013: pdf
- Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin,
Jing Fang and Max Welling
Herded Gibbs Sampling.
International Conference on Learning Representations (ICLR),
2013. pdf
- Sungjin Ahn, Yutian Chen and Max Welling
Distributed and Adaptive Darting Monte Carlo through
Regenerations.
Artificial Intelligence and Statistics (AISTATS), 2013. pdf
- Yutian Chen and Max Welling
Evidence Estimation for Partially Observed MRFs.
Artificial Intelligence and Statistics (AISTATS), 2013. pdf
- Yutian Chen and Max Welling
Bayesian Structure Learning for Markov Random Fields with a
Spike and Slab Prior.
Conference on Uncertainty in Artificial Intelligence (UAI),2012.
pdf
- Yutian Chen, Andrew Gelfand, Charless C. Fowlkes and Max
Welling
Integrating Local Classifiers through Nonlinear Dynamics on
Label Graphs with an Application to Image Segmentation.
International Conference on Computer Vision (ICCV), 2011. pdf
- Andrew E. Gelfand, Laurens van der Maaten, Yutian Chen and
Max Welling
On Herding and the Perceptron Cycling Theorem.
Neural Information Processing Systems (NIPS), 2010. pdf
- Yutian Chen, Max Welling and Alex Smola
Super-Samples from Kernel Herding.
Conference on Uncertainty in Artificial Intelligence (UAI),
2010. pdf
code
- Yutian Chen and Max Welling
Dynamical Products of Experts for Modeling Financial Time
Series.
International Conference on Machine Learning (ICML), 2010. pdf
- Yutian Chen and Max Welling
Parametric Herding.
Artificial Intelligence and Statistics (AISTATS), 2010. pdf
- Max Welling and Yutian Chen
Statistical Inference Using Weak Chaos and Infinite Memory.
Proceedings of the Int'l Workshop on Statistical-Mechanical
Informatics (IW-SMI), 2010. pdf
- Yutian Chen and Max Welling
Bayesian Extreme Components Analysis.
International Joint Conferences on Artificial Intelligence
(IJCAI), 2009. pdf
code