Riquelme, Carlos

11 publications

NeurIPS 2022 Multimodal Contrastive Learning with LIMoE: The Language-Image Mixture of Experts Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby

NeurIPS 2022 On the Adversarial Robustness of Mixture of Experts Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli

CVPR 2022 Which Model to Transfer? Finding the Needle in the Growing Haystack Cedric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lučić

NeurIPS 2021 Scaling Vision with Sparse Mixture of Experts Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby

AAAI 2020 Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly

NeurIPS 2019 Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates Carlos Riquelme, Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A Mann, Andre Barreto, Gergely Neu

NeurIPS 2019 Practical and Consistent Estimation of F-Divergences Paul Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O Tolstikhin

ICLR 2018 Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling Carlos Riquelme, George Tucker, Jasper Snoek

AISTATS 2018 Human Interaction with Recommendation Systems Sven Schmit, Carlos Riquelme

ICML 2017 Active Learning for Accurate Estimation of Linear Models Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric

AAAI 2017 Online Active Linear Regression via Thresholding Carlos Riquelme, Ramesh Johari, Baosen Zhang