Carlos Riquelme
Title
Cited by
Cited by
Year
Dynamic Pricing in Ridesharing Platforms
S Banerjee, R Johari, C Riquelme
ACM SIGecom Exchanges 15 (1), 65-70, 2016
292*2016
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
1562018
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
352019
Pricing in ride-share platforms: A queueing-theoretic approach
C Riquelme, S Banerjee, R Johari
Available at SSRN, 2015
332015
Google research football: A novel reinforcement learning environment
K Kurach, A Raichuk, P Stańczyk, M Zając, O Bachem, L Espeholt, ...
arXiv preprint arXiv:1907.11180, 2019
282019
Deep bayesian bandits showdown
C Riquelme, G Tucker, J Snoek
International conference on learning representations, 2018
282018
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
262019
Human Interaction with Recommendation Systems
S Schmit, C Riquelme
The 21st International Conference on Artificial Intelligence and Statistics…, 2018
252018
Online Active Linear Regression via Thresholding
C Riquelme, R Johari, B Zhang
AAAI-17, Thirty-First AAAI Conference on Artificial Intelligence., 2017
212017
Practical and consistent estimation of f-divergences
P Rubenstein, O Bousquet, J Djolonga, C Riquelme, IO Tolstikhin
Advances in Neural Information Processing Systems 32, 4070-4080, 2019
192019
Scalable transfer learning with expert models
J Puigcerver, C Riquelme, B Mustafa, C Renggli, AS Pinto, S Gelly, ...
arXiv preprint arXiv:2009.13239, 2020
152020
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
142020
The Beta-VAE's Implicit Prior
MD Hoffman, C Riquelme, M Johnson
Bayesian Deep Learning Workshop. Neural Information Processing Systems, NIPS…, 2017
132017
Learning Multifractal Structure in Large Networks
AR Benson, C Riquelme, S Schmit
Proceedings of the 20th ACM SIGKDD international conference on Knowledge…, 2014
122014
Active Learning for Accurate Estimation of Linear Models
C Riquelme, M Ghavamzadeh, A Lazaric
Thirty-fourth International Conference on Machine Learning, ICML 2017., 2017
102017
On last-layer algorithms for classification: Decoupling representation from uncertainty estimation
N Brosse, C Riquelme, A Martin, S Gelly, Moulines
arXiv preprint arXiv:2001.08049, 2020
62020
Pricing in ride-share platforms: A queueing-theoretic approach.(2015)
S Banerjee, C Riquelme, R Johari
Available at SSRN 2568258, 2015
62015
Scaling Vision with Sparse Mixture of Experts
C Riquelme, J Puigcerver, B Mustafa, M Neumann, R Jenatton, AS Pinto, ...
arXiv preprint arXiv:2106.05974, 2021
22021
Which model to transfer? finding the needle in the growing haystack
C Renggli, AS Pinto, L Rimanic, J Puigcerver, C Riquelme, C Zhang, ...
arXiv preprint arXiv:2010.06402, 2020
22020
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
C Riquelme, H Penedones, D Vincent, H Maennel, S Gelly, TA Mann, ...
2*2019
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