Djallel Bouneffouf
Title
Cited by
Cited by
Year
A contextual-bandit algorithm for mobile context-aware recommender system
D Bouneffouf, A Bouzeghoub, AL Gançarski
International conference on neural information processing, 324-331, 2012
1352012
A neural networks committee for the contextual bandit problem
R Allesiardo, R Féraud, D Bouneffouf
International Conference on Neural Information Processing, 374-381, 2014
672014
Multi-armed bandit problem with known trend
D Bouneffouf, R Féraud
Neurocomputing 205, 16-21, 2016
652016
Contextual bandit for active learning: Active thompson sampling
D Bouneffouf, R Laroche, T Urvoy, R Féraud, R Allesiardo
International Conference on Neural Information Processing, 405-412, 2014
552014
Context attentive bandits: Contextual bandit with restricted context
D Bouneffouf, I Rish, GA Cecchi, R Féraud
arXiv preprint arXiv:1705.03821, 2017
532017
Hybrid-ε-greedy for Mobile Context-Aware Recommender System
D Bouneffouf, A Bouzeghoub, AL Gançarski
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 468-479, 2012
502012
Following the user's interests in mobile context-aware recommender systems: The hybrid-E-greedy algorithm
D Bouneffouf, A Bouzeghoub, AL Gançarski
2012 26th International Conference on Advanced Information Networking and …, 2012
472012
Survey on Applications of Multi-Armed and Contextual Bandits
D Bouneffouf, I Rish, C Aggarwal
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
46*2020
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation.
A Balakrishnan, D Bouneffouf, N Mattei, F Rossi
IJCAI, 5802-5804, 2018
392018
Incorporating behavioral constraints in online AI systems
A Balakrishnan, D Bouneffouf, N Mattei, F Rossi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3-11, 2019
372019
Interpretable multi-objective reinforcement learning through policy orchestration
R Noothigattu, D Bouneffouf, N Mattei, R Chandra, P Madan, K Varshney, ...
arXiv preprint arXiv:1809.08343, 2018
352018
Exponentiated gradient exploration for active learning
D Bouneffouf
Computers 5 (1), 1, 2016
352016
Risk-aware recommender systems
D Bouneffouf, A Bouzeghoub, AL Ganarski
International Conference on Neural Information Processing, 57-65, 2013
332013
Scalable recollections for continual lifelong learning
M Riemer, T Klinger, D Bouneffouf, M Franceschini
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1352-1359, 2019
322019
Beyond backprop: Online alternating minimization with auxiliary variables
A Choromanska, B Cowen, S Kumaravel, R Luss, M Rigotti, I Rish, ...
International Conference on Machine Learning, 1193-1202, 2019
31*2019
Bandit models of human behavior: Reward processing in mental disorders
D Bouneffouf, I Rish, GA Cecchi
International Conference on Artificial General Intelligence, 237-248, 2017
31*2017
Contextual bandit with adaptive feature extraction
B Lin, D Bouneffouf, GA Cecchi, I Rish
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 937-944, 2018
302018
An ADMM based framework for automl pipeline configuration
S Liu, P Ram, D Vijaykeerthy, D Bouneffouf, G Bramble, H Samulowitz, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4892-4899, 2020
292020
Contextual bandit with adaptive feature extraction
B Lin, D Bouneffouf, GA Cecchi, I Rish
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 937-944, 2018
292018
Sampling with minimum sum of squared similarities for nystrom-based large scale spectral clustering
D Bouneffouf, I Birol
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
222015
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Articles 1–20