Yutian Chen - RankMe

70 papers A* 19A 6Journal 41Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TRecViT: A Recurrent Video Transformer. Trans. Mach. Learn. Res. Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2024	J	`jnl`	GATS: Gather-Attend-Scatter. CoRR Konrad Zolna, Serkan Cabi, Yutian Chen, Eric Lau, Claudio Fantacci, Jurgis Pasukonis, Jost Tobias Springenberg, Sergio Gomez Colmenarejo
2024	J	`jnl`	Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models. CoRR 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
2024	J	`jnl`	OmniPred: Language Models as Universal Regressors. CoRR Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024	J	`jnl`	OmniPred: Language Models as Universal Regressors. Trans. Mach. Learn. Res. Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024	A*	`conf`	Position: Leverage Foundational Models for Black-Box Optimization. ICML Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024	J	`jnl`	Position: Leverage Foundational Models for Black-Box Optimization. CoRR Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024	J	`jnl`	Predicting from Strings: Language Model Embeddings for Bayesian Optimization. CoRR Tung Nguyen, Qiuyi Zhang, Bangding Yang, Chansoo Lee, Jörg Bornschein, Yingjie Miao, Sagi Perel, Yutian Chen, Xingyou Song
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR 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
2024	J	`jnl`	TRecViT: A Recurrent Video Transformer. CoRR Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2024	A*	`conf`	π2vec: Policy Representation with Successor Features. ICLR Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil
2023	A	`conf`	Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. GECCO Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
2023	J	`jnl`	Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. CoRR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
2023	—	`conf`	Discovering Evolution Strategies via Meta-Black-Box Optimization. GECCO Companion Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2023	A*	`conf`	Discovering Evolution Strategies via Meta-Black-Box Optimization. ICLR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2023	J	`jnl`	Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. J. Mach. Learn. Res. 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
2023	J	`jnl`	π2vec: Policy Representations with Successor Features. CoRR Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Tom Le Paine, Yutian Chen, Misha Denil
2022	J	`jnl`	A Generalist Agent. CoRR Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez 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
2022	J	`jnl`	A Generalist Agent. Trans. Mach. Learn. Res. 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
2022	J	`jnl`	Discovering Evolution Strategies via Meta-Black-Box Optimization. CoRR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dallibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2022	A*	`conf`	Introducing Symmetries to Black Box Meta Reinforcement Learning. AAAI Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
2022	J	`jnl`	Multi-step Planning for Automated Hyperparameter Optimization with OptFormer. CoRR Lucio M. Dery, Abram L. Friesen, Nando de Freitas, Marc'Aurelio Ranzato, Yutian Chen
2022	J	`jnl`	NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. CoRR 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
2022	J	`jnl`	On Instrumental Variable Regression for Deep Offline Policy Evaluation. J. Mach. Learn. Res. Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
2022	A*	`conf`	Towards Learning Universal Hyperparameter Optimizers with Transformers. NeurIPS 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
2022	J	`jnl`	Towards Learning Universal Hyperparameter Optimizers with Transformers. CoRR Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
2021	A*	`conf`	Active Offline Policy Selection. NeurIPS Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
2021	J	`jnl`	Active Offline Policy Selection. CoRR Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
2021	A*	`conf`	Benchmarks for Deep Off-Policy Evaluation. ICLR 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
2021	J	`jnl`	Benchmarks for Deep Off-Policy Evaluation. CoRR 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
2021	J	`jnl`	Introducing Symmetries to Black Box Meta Reinforcement Learning. CoRR Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
2021	A*	`conf`	Learning Deep Features in Instrumental Variable Regression. ICLR Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
2021	J	`jnl`	On Instrumental Variable Regression for Deep Offline Policy Evaluation. CoRR Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
2021	J	`jnl`	Regularized Behavior Value Estimation. CoRR Çaglar Gülçehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew W. Hoffman, Razvan Pascanu, Nando de Freitas
2021	J	`jnl`	Shaking the foundations: delusions in sequence models for interaction and control. CoRR 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
2020	J	`jnl`	Large-scale multilingual audio visual dubbing. CoRR 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
2020	J	`jnl`	Learning Deep Features in Instrumental Variable Regression. CoRR Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
2020	A*	`conf`	Modular Meta-Learning with Shrinkage. NeurIPS Yutian Chen, Abram L. Friesen, Feryal M. P. Behbahani, Arnaud Doucet, David Budden, Matthew Hoffman, Nando de Freitas
2019	J	`jnl`	Modular Meta-Learning with Shrinkage. CoRR Yutian Chen, Abram L. Friesen, Feryal M. P. Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas
2019	—	`conf`	Sample Efficient Adaptive Text-to-Speech. ICLR (Poster) 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
2018	J	`jnl`	Bayesian Optimization in AlphaGo. CoRR Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas
2018	—	`conf`	Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. ICLR (Poster) Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas
2018	J	`jnl`	Sample Efficient Adaptive Text-to-Speech. CoRR 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
2017	J	`jnl`	Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. CoRR Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Jimenez Rezende, Oriol Vinyals, Nando de Freitas
2017	A*	`conf`	Learning to Learn without Gradient Descent by Gradient Descent. ICML Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew M. Botvinick, Nando de Freitas
2017	J	`jnl`	Mastering the game of Go without human knowledge. Nat. 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
2017	A*	`conf`	Parallel Multiscale Autoregressive Density Estimation. ICML Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas
2016	J	`jnl`	Herded Gibbs Sampling. J. Mach. Learn. Res. Yutian Chen, Luke Bornn, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling
2016	J	`jnl`	Herding as a Learning System with Edge-of-Chaos Dynamics. CoRR Yutian Chen, Max Welling
2016	J	`jnl`	Learning to Learn for Global Optimization of Black Box Functions. CoRR Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Nando de Freitas
2016	A*	`conf`	Scalable Discrete Sampling as a Multi-Armed Bandit Problem. ICML Yutian Chen, Zoubin Ghahramani
2016	J	`jnl`	Sequential Tests for Large-Scale Learning. Neural Comput. Anoop Korattikara, Yutian Chen, Max Welling
2015	A*	`conf`	Distributed Inference for Dirichlet Process Mixture Models. ICML Hong Ge, Yutian Chen, Moquan Wan, Zoubin Ghahramani
2015	A*	`conf`	Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data. ICML Yarin Gal, Yutian Chen, Zoubin Ghahramani
2015	J	`jnl`	Subsampling-Based Approximate Monte Carlo for Discrete Distributions. CoRR Yutian Chen, Zoubin Ghahramani
2014	A*	`conf`	Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget. ICML Anoop Korattikara Balan, Yutian Chen, Max Welling
2014	J	`jnl`	Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior. CoRR Yutian Chen, Max Welling
2013	J	`jnl`	Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget CoRR Anoop Korattikara Balan, Yutian Chen, Max Welling
2013	A	`conf`	Distributed and Adaptive Darting Monte Carlo through Regenerations. AISTATS Sungjin Ahn, Yutian Chen, Max Welling
2013	A	`conf`	Evidence Estimation for Bayesian Partially Observed MRFs. AISTATS Yutian Chen, Max Welling
2013	A*	`conf`	Herded Gibbs Sampling ICLR Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling
2012	J	`jnl`	Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior CoRR Yutian Chen, Max Welling
2012	A	`conf`	Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior. UAI Yutian Chen, Max Welling
2012	J	`jnl`	Super-Samples from Kernel Herding CoRR Yutian Chen, Max Welling, Alexander J. Smola
2011	A*	`conf`	Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation. ICCV Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling
2010	A*	`conf`	Dynamical Products of Experts for Modeling Financial Time Series. ICML Yutian Chen, Max Welling
2010	—	`conf`	On Herding and the Perceptron Cycling Theorem. NIPS Andrew Gelfand, Yutian Chen, Laurens van der Maaten, Max Welling
2010	A	`conf`	Parametric Herding. AISTATS Yutian Chen, Max Welling
2010	A	`conf`	Super-Samples from Kernel Herding. UAI Yutian Chen, Max Welling, Alexander J. Smola
2009	A*	`conf`	Bayesian Extreme Components Analysis. IJCAI Yutian Chen, Max Welling