Yutian Chen

According to our database, Yutian Chen authored at least 47 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.

Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas

CoRR, 2024

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George-Cristian Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando de Freitas, Caglar Gulcehre

CoRR, 2024

OmniPred: Language Models as Universal Regressors.

Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

CoRR, 2024

GATS: Gather-Attend-Scatter.

Konrad Zolna, Serkan Cabi, Yutian Chen, Eric Lau, Claudio Fantacci, Jurgis Pasukonis, Jost Tobias Springenberg, Sergio Gomez Colmenarejo

CoRR, 2024

Position: Leverage Foundational Models for Black-Box Optimization.

Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

π2vec: Policy Representation with Successor Features.

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.

Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato

J. Mach. Learn. Res., 2023

π2vec: Policy Representations with Successor Features.

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Tom Le Paine, Yutian Chen, Misha Denil

CoRR, 2023

Discovering Evolution Strategies via Meta-Black-Box Optimization.

Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization.

Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

A Generalist Agent.

Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas

Trans. Mach. Learn. Res., 2022

On Instrumental Variable Regression for Deep Offline Policy Evaluation.

Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet

J. Mach. Learn. Res., 2022

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.

Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato

CoRR, 2022

Multi-step Planning for Automated Hyperparameter Optimization with OptFormer.

Lucio M. Dery, Abram L. Friesen, Nando de Freitas, Marc'Aurelio Ranzato, Yutian Chen

CoRR, 2022

Towards Learning Universal Hyperparameter Optimizers with Transformers.

Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Introducing Symmetries to Black Box Meta Reinforcement Learning.

Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Shaking the foundations: delusions in sequence models for interaction and control.

Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Pérolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott E. Reed, Marcus Hutter, Nando de Freitas, Shane Legg

CoRR, 2021

Regularized Behavior Value Estimation.

Çaglar Gülçehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew W. Hoffman, Razvan Pascanu, Nando de Freitas

CoRR, 2021

Active Offline Policy Selection.

Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Deep Features in Instrumental Variable Regression.

Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton

Proceedings of the 9th International Conference on Learning Representations, 2021

Benchmarks for Deep Off-Policy Evaluation.

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, Tom Le Paine

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Large-scale multilingual audio visual dubbing.

Yi Yang, Brendan Shillingford, Yannis M. Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas

CoRR, 2020

Modular Meta-Learning with Shrinkage.

Yutian Chen, Abram L. Friesen, Feryal M. P. Behbahani, Arnaud Doucet, David Budden, Matthew Hoffman, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Sample Efficient Adaptive Text-to-Speech.

Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Bayesian Optimization in AlphaGo.

Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas

CoRR, 2018

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

Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Mastering the game of Go without human knowledge.

David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, Demis Hassabis

Nat., 2017

Parallel Multiscale Autoregressive Density Estimation.

Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Learn without Gradient Descent by Gradient Descent.

Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew M. Botvinick, Nando de Freitas

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Sequential Tests for Large-Scale Learning.

Anoop Korattikara, Yutian Chen, Max Welling

Neural Comput., 2016

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

Yutian Chen, Max Welling

CoRR, 2016

Learning to Learn for Global Optimization of Black Box Functions.

Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Nando de Freitas

CoRR, 2016

Scalable Discrete Sampling as a Multi-Armed Bandit Problem.

Yutian Chen, Zoubin Ghahramani

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

2015

Subsampling-Based Approximate Monte Carlo for Discrete Distributions.

Yutian Chen, Zoubin Ghahramani

CoRR, 2015

Distributed Inference for Dirichlet Process Mixture Models.

Hong Ge, Yutian Chen, Moquan Wan, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data.

Yarin Gal, Yutian Chen, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget.

Anoop Korattikara Balan, Yutian Chen, Max Welling

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

2013

Herded Gibbs Sampling

Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling

Proceedings of the 1st International Conference on Learning Representations, 2013

Evidence Estimation for Bayesian Partially Observed MRFs.

Yutian Chen, Max Welling

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Distributed and Adaptive Darting Monte Carlo through Regenerations.

Sungjin Ahn, Yutian Chen, Max Welling

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.

Yutian Chen, Max Welling

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.

Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Parametric Herding.

Yutian Chen, Max Welling

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

Super-Samples from Kernel Herding.

Yutian Chen, Max Welling, Alexander J. Smola

Proceedings of the UAI 2010, 2010

On Herding and the Perceptron Cycling Theorem.

Andrew Gelfand, Yutian Chen, Laurens van der Maaten, Max Welling

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

Dynamical Products of Experts for Modeling Financial Time Series.

Yutian Chen, Max Welling

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Bayesian Extreme Components Analysis.

Yutian Chen, Max Welling

Proceedings of the IJCAI 2009, 2009