Bobak Shahriari

According to our database, Bobak Shahriari authored at least 14 papers between 2013 and 2024.

Collaborative distances:

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

2024

Gemma: Open Models Based on Gemini Research and Technology.

Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Léonard Hussenot, Aakanksha Chowdhery, Adam Roberts, Aditya Barua, Alex Botev, Alex Castro-Ros, Ambrose Slone, Amélie Héliou, Andrea Tacchetti, Anna Bulanova, Antonia Paterson, Beth Tsai, Bobak Shahriari, Charline Le Lan, Christopher A. Choquette-Choo, Clément Crepy, Daniel Cer, Daphne Ippolito, David Reid, Elena Buchatskaya, Eric Ni, Eric Noland, Geng Yan, George Tucker, George-Christian Muraru, Grigory Rozhdestvenskiy, Henryk Michalewski, Ian Tenney, Ivan Grishchenko, Jacob Austin, James Keeling, Jane Labanowski, Jean-Baptiste Lespiau, Jeff Stanway, Jenny Brennan, Jeremy Chen, Johan Ferret, Justin Chiu, et al.

CoRR, 2024

2023

Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning.

Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matthew W. Hoffman

CoRR, 2023

2022

Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.

Bobak Shahriari, Abbas Abdolmaleki, Arunkumar Byravan, Abe Friesen, Siqi Liu, Jost Tobias Springenberg, Nicolas Heess, Matt Hoffman, Martin A. Riedmiller

CoRR, 2022

2021

On Multi-objective Policy Optimization as a Tool for Reinforcement Learning.

Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvári, Raia Hadsell, Nicolas Heess, Martin A. Riedmiller

CoRR, 2021

2020

Acme: A Research Framework for Distributed Reinforcement Learning.

Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal M. P. Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alexander Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Çaglar Gülçehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas

CoRR, 2020

Critic Regularized Regression.

Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh Merel, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas

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

Making Efficient Use of Demonstrations to Solve Hard Exploration Problems.

Çaglar Gülçehre, Tom Le Paine, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team

Proceedings of the 8th International Conference on Learning Representations, 2020

2017

A combined finite element and Bayesian optimization framework for shape optimization in spectral geometry.

Sebastián Domínguez, Nilima Nigam, Bobak Shahriari

Comput. Math. Appl., 2017

2016

Taking the Human Out of the Loop: A Review of Bayesian Optimization.

Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, Nando de Freitas

Proc. IEEE, 2016

Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs?

Paul F. Tupper, Bobak Shahriari

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Unbounded Bayesian Optimization via Regularization.

Bobak Shahriari, Alexandre Bouchard-Côté, Nando de Freitas

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2014

An Entropy Search Portfolio for Bayesian Optimization.

Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman, Alexandre Bouchard-Côté, Nando de Freitas

CoRR, 2014

On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning.

Matthew W. Hoffman, Bobak Shahriari, Nando de Freitas

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Best arm identification via Bayesian gap-based exploration

Matthew W. Hoffman, Bobak Shahriari, Nando de Freitas

CoRR, 2013