Carlos Riquelme
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Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
C Riquelme, G Tucker, J Snoek
Sixth International Conference on Learning Representations, ICLR 2018., 2018
Dynamic Pricing in Ridesharing Platforms
S Banerjee, R Johari, C Riquelme
ACM SIGecom Exchanges 15 (1), 65-70, 2016
Pricing in ride-sharing platforms: A queueing-theoretic approach
S Banerjee, R Johari, C Riquelme
Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015
Google research football: A novel reinforcement learning environment
K Kurach, A Raichuk, P Stańczyk, M Zając, O Bachem, L Espeholt, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4501-4510, 2020
A large-scale study of representation learning with the visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
Scaling vision with sparse mixture of experts
C Riquelme, J Puigcerver, B Mustafa, M Neumann, R Jenatton, ...
Advances in Neural Information Processing Systems 34, 8583-8595, 2021
Pali: A jointly-scaled multilingual language-image model
X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ...
arXiv preprint arXiv:2209.06794, 2022
Pricing in ride-share platforms: A queueing-theoretic approach
C Riquelme, S Banerjee, R Johari
Proc. 16th ACM Conf. Econom. Comput, 2015
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
Human Interaction with Recommendation Systems
S Schmit, C Riquelme
The 21st International Conference on Artificial Intelligence and Statistics …, 2018
Deep bayesian bandits showdown
C Riquelme, G Tucker, J Snoek
International conference on learning representations 9, 2018
Scalable transfer learning with expert models
J Puigcerver, C Riquelme, B Mustafa, C Renggli, AS Pinto, S Gelly, ...
arXiv preprint arXiv:2009.13239, 2020
Practical and consistent estimation of f-divergences
P Rubenstein, O Bousquet, J Djolonga, C Riquelme, IO Tolstikhin
Advances in Neural Information Processing Systems 32, 2019
Online Active Linear Regression via Thresholding
C Riquelme, R Johari, B Zhang
AAAI-17, Thirty-First AAAI Conference on Artificial Intelligence., 2017
On last-layer algorithms for classification: Decoupling representation from uncertainty estimation
N Brosse, C Riquelme, A Martin, S Gelly, É Moulines
arXiv preprint arXiv:2001.08049, 2020
Multimodal contrastive learning with limoe: the language-image mixture of experts
B Mustafa, C Riquelme, J Puigcerver, R Jenatton, N Houlsby
arXiv preprint arXiv:2206.02770, 2022
The Beta-VAE's Implicit Prior
MD Hoffman, C Riquelme, M Johnson
Bayesian Deep Learning Workshop. Neural Information Processing Systems, NIPS …, 2017
Active Learning for Accurate Estimation of Linear Models
C Riquelme, M Ghavamzadeh, A Lazaric
Thirty-fourth International Conference on Machine Learning, ICML 2017., 2017
Learning Multifractal Structure in Large Networks
AR Benson, C Riquelme, S Schmit
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
arXiv preprint arXiv:2302.05442, 2023
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