Carlos Riquelme
Cited by
Cited by
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
Pricing in ride-share platforms: A queueing-theoretic approach
C Riquelme, S Banerjee, R Johari
Available at SSRN, 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
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
Online Active Linear Regression via Thresholding
C Riquelme, R Johari, B Zhang
AAAI-17, Thirty-First AAAI Conference on Artificial Intelligence., 2017
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
Practical and consistent estimation of f-divergences
PK Rubenstein, O Bousquet, J Djolonga, C Riquelme, I Tolstikhin
arXiv preprint arXiv:1905.11112, 2019
Learning Multifractal Structure in Large Networks
AR Benson, C Riquelme, S Schmit
Proceedings of the 20th ACM SIGKDD international conference on Knowledge…, 2014
The Beta-VAE's Implicit Prior
MD Hoffman, C Riquelme, M Johnson
Bayesian Deep Learning Workshop. Neural Information Processing Systems, NIPS…, 2017
Scalable transfer learning with expert models
J Puigcerver, C Riquelme, B Mustafa, C Renggli, AS Pinto, S Gelly, ...
arXiv preprint arXiv:2009.13239, 2020
Active Learning for Accurate Estimation of Linear Models
C Riquelme, M Ghavamzadeh, A Lazaric
Thirty-fourth International Conference on Machine Learning, ICML 2017., 2017
Pricing in ride-share platforms: A queueing-theoretic approach.(2015)
S Banerjee, C Riquelme, R Johari
Available at SSRN 2568258, 2015
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
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates.
C Riquelme, H Penedones, D Vincent, H Maennel, S Gelly, TA Mann, ...
NeurIPS, 2019
Failure modes of variational inference for decision making
C Riquelme, M Johnson, M Hoffman
Prediction and Generative Modeling in RL Workshop (AAMAS, ICML, IJCAI), 2018
Human interaction with recommendation systems: On bias and exploration
S Schmit, C Riquelme
ArXiv e-prints, 2017
Google Research Football: A Novel Reinforcement Learning Environment
A Raichuk, C Riquelme, D Vincent, K Kurach, L Espeholt, M Michalski, ...
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