Carlos Riquelme
Title
Cited by
Cited by
Year
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
942015
Dynamic Pricing in Ridesharing Platforms
S Banerjee, R Johari, C Riquelme
ACM SIGecom Exchanges 15 (1), 65-70, 2016
93*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
712018
Pricing in ride-share platforms: A queueing-theoretic approach
C Riquelme, S Banerjee, R Johari
Available at SSRN, 2015
272015
Human Interaction with Recommendation Systems
S Schmit, C Riquelme
The 21st International Conference on Artificial Intelligence and Statistics…, 2018
152018
Online Active Linear Regression via Thresholding
C Riquelme, R Johari, B Zhang
AAAI-17, Thirty-First AAAI Conference on Artificial Intelligence., 2017
152017
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
142019
Learning Multifractal Structure in Large Networks
AR Benson, C Riquelme, S Schmit
Proceedings of the 20th ACM SIGKDD international conference on Knowledge…, 2014
122014
The Beta-VAE's Implicit Prior
MD Hoffman, C Riquelme, M Johnson
Bayesian Deep Learning Workshop. Neural Information Processing Systems, NIPS…, 2017
92017
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
82019
Pricing in ride-share platforms: A queueing-theoretic approach.(2015)
S Banerjee, C Riquelme, R Johari
Available at SSRN 2568258, 2015
62015
Active Learning for Accurate Estimation of Linear Models
C Riquelme, M Ghavamzadeh, A Lazaric
Thirty-fourth International Conference on Machine Learning, ICML 2017., 2017
52017
Practical and Consistent Estimation of f-Divergences
P Rubenstein, O Bousquet, J Djolonga, C Riquelme, IO Tolstikhin
Advances in Neural Information Processing Systems, 4072-4082, 2019
42019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
H Penedones, C Riquelme, D Vincent, H Maennel, T Mann, A Barreto, ...
arXiv preprint arXiv:1906.07987, 2019
22019
Human interaction with recommendation systems: On bias and exploration
S Schmit, C Riquelme
stat 1050, 1, 2017
22017
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
12019
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
12018
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
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, ...
Advances in Neural Information Processing Systems, 11872-11882, 2019
2019
Google Research Football: A Novel Reinforcement Learning Environment
A Raichuk, C Riquelme, D Vincent, K Kurach, L Espeholt, M Michalski, ...
2019
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