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Djallel Bouneffouf
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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
305*2020
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
1862012
A neural networks committee for the contextual bandit problem
R Allesiardo, R Féraud, D Bouneffouf
Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014
134*2014
International conference on neural information processing
X Guo, X Liu, E Zhu, J Yin
Springer, Cham,, 2017
1132017
Multi-armed bandit problem with known trend
D Bouneffouf, R Féraud
Neurocomputing 205, 16-21, 2016
1082016
Contextual bandit for active learning: Active thompson sampling
D Bouneffouf, R Laroche, T Urvoy, R Féraud, R Allesiardo
Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014
972014
Context attentive bandits: Contextual bandit with restricted context
D Bouneffouf, I Rish, GA Cecchi, R Féraud
IJCAI 2017, 2017
922017
Data augmentation for discrimination prevention and bias disambiguation
S Sharma, Y Zhang, JM Ríos Aliaga, D Bouneffouf, V Muthusamy, ...
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 358-364, 2020
902020
Teaching AI agents ethical values using reinforcement learning and policy orchestration
R Noothigattu, D Bouneffouf, N Mattei, R Chandra, P Madan, ...
IBM Journal of Research and Development 63 (4/5), 2: 1-2: 9, 2019
872019
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
832020
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
82*2019
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
812019
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
672019
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
672012
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation.
A Balakrishnan, D Bouneffouf, N Mattei, F Rossi
IJCAI, 5802-5804, 2018
632018
Hybrid-ε-greedy for Mobile Context-Aware Recommender System
D Bouneffouf, A Bouzeghoub, AL Gançarski
Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia …, 2012
602012
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
482018
Risk-aware recommender systems
D Bouneffouf, A Bouzeghoub, AL Ganarski
Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013
482013
Exponentiated gradient exploration for active learning
D Bouneffouf
Computers 5 (1), 1, 2016
472016
A story of two streams: Reinforcement learning models from human behavior and neuropsychiatry
B Lin, G Cecchi, D Bouneffouf, J Reinen, I Rish
AAMAS, 2019
462019
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Articles 1–20