Djallel Bouneffouf

147 papers A* 20A 2B 10C 1Misc 7Journal 81Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Value Alignment of LLMs with Multi-agent system and Combinatorial Fusion. CoRR Yuanhong Wu, Djallel Bouneffouf, D. Frank Hsu
2026	A*	`conf`	Multi-Armed Bandits Meet Large Language Models. AAAI Djallel Bouneffouf, Raphaël Féraud
2026	A*	`conf`	The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships? AAAI Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney
2025	J	`jnl`	Agentic AI Needs a Systems Theory. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Matthew Riemer, Djallel Bouneffouf, John T. Richards, Amit Dhurandhar, Elizabeth M. Daly, Michael Hind, Prasanna Sattigeri, Dennis Wei, Ambrish Rawat, Jasmina Gajcin, Werner Geyer
2025	Misc	`conf`	Contextual Value Alignment. ICASSP Pierre L. Dognin, Jesus Rios, Ronny Luss, Prasanna Sattigeri, Miao Liu, Inkit Padhi, Matthew Riemer, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2025	—	`conf`	Evaluating the Prompt Steerability of Large Language Models. NAACL (Long Papers) Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Kush R. Varshney, Eitan Farchi, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu, Prasanna Sattigeri
2025	—	`conf`	Multi-Armed Bandit with Sparse and Noisy Feedback. ICASSP Workshops Djallel Bouneffouf, Raphaël Féraud, Baihan Lin
2025	J	`jnl`	Multi-Armed Bandits Meet Large Language Models. CoRR Djallel Bouneffouf, Raphaël Féraud
2025	—	`conf`	Position: Theory of Mind Benchmarks are Broken for Large Language Models. ICML (Position Papers) Matthew Riemer, Zahra Ashktorab, Djallel Bouneffouf, Payel Das, Miao Liu, Justin D. Weisz, Murray Campbell
2025	J	`jnl`	Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. CoRR Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, Jihyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas
2025	J	`jnl`	Scopes of Alignment. CoRR Kush R. Varshney, Zahra Ashktorab, Djallel Bouneffouf, Matthew Riemer, Justin D. Weisz
2025	J	`jnl`	Sequential uncertainty quantification with contextual tensors for social targeting. Knowl. Inf. Syst. Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
2025	J	`jnl`	The Effectiveness of Approximate Regularized Replay for Efficient Supervised Fine-Tuning of Large Language Models. CoRR Matthew Riemer, Erik Miehling, Miao Liu, Djallel Bouneffouf, Murray Campbell
2025	J	`jnl`	The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships? CoRR Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney
2025	—	`conf`	TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts (short paper). IUI Workshops Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
2024	A*	`conf`	A Tutorial on Multi-Armed Bandit Applications for Large Language Models. KDD Djallel Bouneffouf, Raphaël Féraud
2024	J	`jnl`	Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
2024	J	`jnl`	Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. IEEE Internet Comput. Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
2024	J	`jnl`	Assessing AI Rationality: The Random Guesser Test for Sequential Decision-Making Systems. CoRR Shun Ide, Allison Blunt, Djallel Bouneffouf
2024	J	`jnl`	COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. CoRR Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo A. Cecchi
2024	J	`jnl`	Can Large Language Models Adapt to Other Agents In-Context? CoRR Matthew Riemer, Zahra Ashktorab, Djallel Bouneffouf, Payel Das, Miao Liu, Justin D. Weisz, Murray Campbell
2024	A*	`conf`	ComVas: Contextual Moral Values Alignment System. IJCAI Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2024	J	`jnl`	Contextual Moral Value Alignment Through Context-Based Aggregation. CoRR Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2024	—	`conf`	Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. ClinicalNLP@NAACL Aylin Gunal, Baihan Lin, Djallel Bouneffouf
2024	J	`jnl`	Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. CoRR Aylin Gunal, Baihan Lin, Djallel Bouneffouf
2024	J	`jnl`	Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici
2024	J	`jnl`	Evaluating the Prompt Steerability of Large Language Models. CoRR Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu
2024	A*	`conf`	Interpolating Item and User Fairness in Multi-Sided Recommendations. NeurIPS Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf
2024	—	`conf`	Working Alliance Transformer for Psychotherapy Dialogue Classification. ClinicalNLP@NAACL Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	A Survey on Compositional Generalization in Applications. CoRR Baihan Lin, Djallel Bouneffouf, Irina Rish
2023	Misc	`conf`	Dialogue System with Missing Observation. ICASSP Djallel Bouneffouf, Mayank Agarwal, Irina Rish
2023	—	`conf`	Helping Therapists with NLP-Annotated Recommendation 17-24. IUI Workshops Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	Interpolating Item and User Fairness in Recommendation Systems. CoRR Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf
2023	A*	`conf`	Non-Stationary Bandits with Auto-Regressive Temporal Dependency. NeurIPS Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf
2023	—	`conf`	Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. WWW (Companion Volume) Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	Misc	`conf`	Question Answering System with Sparse and Noisy Feedback. ICASSP Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin
2023	—	`conf`	Robust Stochastic Multi-Armed Bandits with Historical Data. WWW (Companion Volume) Sarah Boufelja Yacobi, Djallel Bouneffouf
2023	A*	`conf`	SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. IJCAI Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. CoRR Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
2023	J	`jnl`	Towards Healthy AI: Large Language Models Need Therapists Too. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney
2023	—	`conf`	Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. ClinicalNLP@ACL Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori
2023	J	`jnl`	Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. CoRR Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori
2022	A*	`conf`	Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization. AAAI Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea
2022	J	`jnl`	Deep Annotation of Therapeutic Working Alliance in Psychotherapy. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2022	J	`jnl`	Dynamic Bandits with an Auto-Regressive Temporal Structure. CoRR Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf
2022	A*	`conf`	Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. IJCAI Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu
2022	B	`conf`	Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data. IJCNN Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni
2022	A	`conf`	Linearizing contextual bandits with latent state dynamics. UAI Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart
2022	J	`jnl`	Neural Topic Modeling of Psychotherapy Sessions. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Ravi Tejwani
2022	—	`conf`	Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. PRICAI (3) Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2022	B	`conf`	Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. FUZZ-IEEE Baihan Lin, Djallel Bouneffouf
2022	B	`conf`	Predicting Human Decision Making with LSTM. IJCNN Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2022	J	`jnl`	Reinforcement learning with algorithms from probabilistic structure estimation. Autom. Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten
2022	J	`jnl`	Survey on Applications of Neurosymbolic Artificial Intelligence. CoRR Djallel Bouneffouf, Charu C. Aggarwal
2022	J	`jnl`	Targeted Advertising on Social Networks Using Online Variational Tensor Regression. CoRR Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
2022	J	`jnl`	Working Alliance Transformer for Psychotherapy Dialogue Classification. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2021	Misc	`conf`	Corrupted Contextual Bandits: Online Learning with Corrupted Context. ICASSP Djallel Bouneffouf
2021	Misc	`conf`	Double-Linear Thompson Sampling for Context-Attentive Bandits. ICASSP Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish
2021	J	`jnl`	Etat de l'art sur l'application des bandits multi-bras. CoRR Djallel Bouneffouf
2021	Misc	`conf`	Online Hyper-Parameter Tuning for the Contextual Bandit. ICASSP Djallel Bouneffouf, Emmanuelle Claeys
2021	J	`jnl`	Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. CoRR Baihan Lin, Djallel Bouneffouf
2021	J	`jnl`	Reinforcement Learning with Algorithms from Probabilistic Structure Estimation. CoRR Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten
2021	A*	`conf`	Toward Optimal Solution for the Context-Attentive Bandit Problem. IJCAI Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni
2021	Misc	`conf`	Toward Skills Dialog Orchestration with Online Learning. ICASSP Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish
2020	A	`conf`	A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. AAMAS Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2020	A*	`conf`	An ADMM Based Framework for AutoML Pipeline Configuration. AAAI Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray
2020	J	`jnl`	Computing the Dirichlet-Multinomial Log-Likelihood Function. CoRR Djallel Bouneffouf
2020	J	`jnl`	Contextual Bandit with Missing Rewards. CoRR Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni
2020	C	`conf`	Data Augmentation for Discrimination Prevention and Bias Disambiguation. AIES Shubham Sharma, Yunfeng Zhang, Jesús M. Ríos Aliaga, Djallel Bouneffouf, Vinod Muthusamy, Kush R. Varshney
2020	J	`jnl`	Double-Linear Thompson Sampling for Context-Attentive Bandits. CoRR Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish
2020	J	`jnl`	Hyper-parameter Tuning for the Contextual Bandit. CoRR Djallel Bouneffouf, Emmanuelle Claeys
2020	J	`jnl`	Learned Fine-Tuner for Incongruous Few-Shot Learning. CoRR Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin
2020	—	`conf`	Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. HBAI@IJCAI Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2020	J	`jnl`	Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2020	J	`jnl`	Online Semi-Supervised Learning with Bandit Feedback. CoRR Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf
2020	J	`jnl`	Online learning with Corrupted context: Corrupted Contextual Bandits. CoRR Djallel Bouneffouf
2020	J	`jnl`	Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2020	J	`jnl`	Solving Constrained CASH Problems with ADMM. CoRR Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
2020	J	`jnl`	Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling. CoRR Djallel Bouneffouf
2020	B	`conf`	Survey on Applications of Multi-Armed and Contextual Bandits. CEC Djallel Bouneffouf, Irina Rish, Charu C. Aggarwal
2020	B	`conf`	Survey on Automated End-to-End Data Science? IJCNN Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray
2020	J	`jnl`	Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2019	J	`jnl`	A Bandit Approach to Posterior Dialog Orchestration Under a Budget. CoRR Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni
2019	J	`jnl`	A Survey on Practical Applications of Multi-Armed and Contextual Bandits. CoRR Djallel Bouneffouf, Irina Rish
2019	J	`jnl`	Automated Machine Learning via ADMM. CoRR Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray
2019	A*	`conf`	Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. ICML Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
2019	J	`jnl`	How can AI Automate End-to-End Data Science? CoRR Charu C. Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray
2019	A*	`conf`	Incorporating Behavioral Constraints in Online AI Systems. AAAI Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
2019	J	`jnl`	Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit. CoRR Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
2019	A*	`conf`	Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. IJCAI Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
2019	J	`jnl`	Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2019	A*	`conf`	Scalable Recollections for Continual Lifelong Learning. AAAI Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini
2019	A*	`conf`	Split Q Learning: Reinforcement Learning with Two-Stream Rewards. IJCAI Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2019	J	`jnl`	Split Q Learning: Reinforcement Learning with Two-Stream Rewards. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2019	A*	`conf`	Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
2019	J	`jnl`	Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
2019	J	`jnl`	Using multi-armed bandits to learn ethical priorities for online AI systems. IBM J. Res. Dev. Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
2018	J	`jnl`	Adaptive Representation Selection in Contextual Bandit with Unlabeled History. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish
2018	J	`jnl`	Beyond Backprop: Alternating Minimization with co-Activation Memory. CoRR Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
2018	—	`conf`	Contextual Bandit with Adaptive Feature Extraction. ICDM Workshops Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish
2018	B	`conf`	Eigenspectrum Shape Based Nyström Sampling. IJCNN Djallel Bouneffouf
2018	J	`jnl`	Incorporating Behavioral Constraints in Online AI Systems. CoRR Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
2018	J	`jnl`	Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. CoRR Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
2018	A*	`conf`	Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. IJCAI Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
2017	—	`conf`	Bandit Models of Human Behavior: Reward Processing in Mental Disorders. AGI Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
2017	J	`jnl`	Bandit Models of Human Behavior: Reward Processing in Mental Disorders. CoRR Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
2017	A*	`conf`	Context Attentive Bandits: Contextual Bandit with Restricted Context. IJCAI Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
2017	J	`jnl`	Context Attentive Bandits: Contextual Bandit with Restricted Context. CoRR Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
2016	B	`conf`	Contextual bandit algorithm for risk-aware recommender systems. CEC Djallel Bouneffouf
2016	B	`conf`	Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. IJCNN Djallel Bouneffouf, Inanç Birol
2016	J	`jnl`	Exponentiated Gradient Exploration for Active Learning. Comput. Djallel Bouneffouf
2016	B	`conf`	Finite-time analysis of the multi-armed bandit problem with known trend. CEC Djallel Bouneffouf
2016	J	`jnl`	Multi-armed bandit problem with known trend. Neurocomputing Djallel Bouneffouf, Raphaël Féraud
2016	B	`conf`	Theoretical analysis of the Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. IJCNN Djallel Bouneffouf, Inanç Birol
2015	A*	`conf`	Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering. IJCAI Djallel Bouneffouf, Inanç Birol
2014	—	`conf`	A Neural Networks Committee for the Contextual Bandit Problem. ICONIP (1) Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
2014	J	`jnl`	A Neural Networks Committee for the Contextual Bandit Problem. CoRR Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
2014	J	`jnl`	Context-Based Information Retrieval in Risky Environment. Aust. J. Intell. Inf. Process. Syst. Djallel Bouneffouf
2014	J	`jnl`	Context-Based Information Retrieval in Risky Environment. CoRR Djallel Bouneffouf
2014	—	`conf`	Contextual Bandit for Active Learning: Active Thompson Sampling. ICONIP (1) Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo
2014	J	`jnl`	Exponentiated Gradient Exploration for Active Learning. CoRR Djallel Bouneffouf
2014	—	`conf`	Freshness-Aware Thompson Sampling. ICONIP (3) Djallel Bouneffouf
2014	J	`jnl`	Freshness-Aware Thompson Sampling. CoRR Djallel Bouneffouf
2014	J	`jnl`	R-UCB: a Contextual Bandit Algorithm for Risk-Aware Recommender Systems. CoRR Djallel Bouneffouf
2014	J	`jnl`	Recommandation mobile, sensible au contexte de contenus évolutifs: Contextuel-E-Greedy. CoRR Djallel Bouneffouf
2014	J	`jnl`	Étude des dimensions spécifiques du contexte dans un système de filtrage d'informations. CoRR Djallel Bouneffouf
2013	J	`jnl`	Applying machine learning techniques to improve user acceptance on ubiquitous environement CoRR Djallel Bouneffouf
2013	—	`conf`	Contextual Bandits for Context-Based Information Retrieval. ICONIP (2) Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski
2013	—	`—`	DRARS, A Dynamic Risk-Aware Recommender System. Djallel Bouneffouf
2013	J	`jnl`	Evolution of the user's content: An Overview of the state of the art CoRR Djallel Bouneffouf
2013	J	`jnl`	Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits CoRR Djallel Bouneffouf
2013	J	`jnl`	Hybrid Q-Learning Applied to Ubiquitous recommender system CoRR Djallel Bouneffouf
2013	J	`jnl`	Improving adaptation of ubiquitous recommander systems by using reinforcement learning and collaborative filtering CoRR Djallel Bouneffouf
2013	J	`jnl`	Mobile Recommender Systems Methods: An Overview CoRR Djallel Bouneffouf
2013	J	`jnl`	Optimizing an Utility Function for Exploration / Exploitation Trade-off in Context-Aware Recommender System CoRR Djallel Bouneffouf
2013	J	`jnl`	Proposition d'une technique de gestion de projet dans les startups CoRR Djallel Bouneffouf
2013	—	`conf`	Risk-Aware Recommender Systems. ICONIP (1) Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski
2013	J	`jnl`	Situation-Aware Approach to Improve Context-based Recommender System CoRR Djallel Bouneffouf
2013	J	`jnl`	The Impact of Situation Clustering in Contextual-Bandit Algorithm for Context-Aware Recommender Systems CoRR Djallel Bouneffouf
2013	J	`jnl`	Towards User Profile Modelling in Recommender System CoRR Djallel Bouneffouf
2012	—	`conf`	A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System. ICONIP (3) Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski
2012	—	`conf`	Considering the High Level Critical Situations in Context-Aware Recommender Systems. IMMoA Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski
2012	—	`conf`	Exploration / Exploitation Trade-Off in Mobile Context-Aware Recommender Systems. Australasian Conference on Artificial Intelligence Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski
2012	—	`conf`	Following the User's Interests in Mobile Context-Aware Recommender Systems: The Hybrid-e-greedy Algorithm. AINA Workshops Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski
2012	—	`conf`	Hybrid-ε-greedy for Mobile Context-Aware Recommender System. PAKDD (1) Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski
2011	—	`conf`	Applying Machine Learning Techniques to Improve User Acceptance on Ubiquitous Environment. CAiSE (Doctoral Consortium) Djallel Bouneffouf