Djallel Bouneffouf

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 93

Top Venues

Telecom & Management SudParis, Évry, Essonne, France (PHD)

Education History

Telecom & Management SudParis, Évry, Essonne, France

PHD

Publications

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
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR (2024)
Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
Contextual Moral Value Alignment Through Context-Based Aggregation. CoRR (2024)
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
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR (2024)
Shun Ide, Allison Blunt, Djallel Bouneffouf
Assessing AI Rationality: The Random Guesser Test for Sequential Decision-Making Systems. CoRR (2024)
Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo A. Cecchi
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. CoRR (2024)
Aylin Gunal, Baihan Lin, Djallel Bouneffouf
Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. CoRR (2024)
Djallel Bouneffouf, Raphaël Féraud
A Tutorial on Multi-Armed Bandit Applications for Large Language Models. KDD (2024)
Sarah Boufelja Yacobi, Djallel Bouneffouf
Robust Stochastic Multi-Armed Bandits with Historical Data. WWW (Companion Volume) (2023)
Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. CoRR (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. CoRR (2023)
Djallel Bouneffouf, Mayank Agarwal, Irina Rish
Dialogue System with Missing Observation. ICASSP (2023)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney
Towards Healthy AI: Large Language Models Need Therapists Too. CoRR (2023)
Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf
Non-Stationary Bandits with Auto-Regressive Temporal Dependency. NeurIPS (2023)
Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. CoRR (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. WWW (Companion Volume) (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Helping Therapists with NLP-Annotated Recommendation 17-24. IUI Workshops (2023)
Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin
Question Answering System with Sparse and Noisy Feedback. ICASSP (2023)
Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf
Interpolating Item and User Fairness in Recommendation Systems. CoRR (2023)
Baihan Lin, Djallel Bouneffouf, Irina Rish
A Survey on Compositional Generalization in Applications. CoRR (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. IJCAI (2023)
Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. ClinicalNLP@ACL (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Deep Annotation of Therapeutic Working Alliance in Psychotherapy. CoRR (2022)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Working Alliance Transformer for Psychotherapy Dialogue Classification. CoRR (2022)
Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
Targeted Advertising on Social Networks Using Online Variational Tensor Regression. CoRR (2022)
Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization. AAAI (2022)
Djallel Bouneffouf, Charu C. Aggarwal
Survey on Applications of Neurosymbolic Artificial Intelligence. CoRR (2022)
Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf
Dynamic Bandits with an Auto-Regressive Temporal Structure. CoRR (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Predicting Human Decision Making with LSTM. IJCNN (2022)
Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni
Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data. IJCNN (2022)
Baihan Lin, Djallel Bouneffouf
Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. FUZZ-IEEE (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Ravi Tejwani
Neural Topic Modeling of Psychotherapy Sessions. CoRR (2022)
Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. IJCAI (2022)
Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten
Reinforcement learning with algorithms from probabilistic structure estimation. Autom. 144 (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. PRICAI (3) (2022)
Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart
Linearizing contextual bandits with latent state dynamics. UAI (2022)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni
Toward Optimal Solution for the Context-Attentive Bandit Problem. IJCAI (2021)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish
Double-Linear Thompson Sampling for Context-Attentive Bandits. ICASSP (2021)
Baihan Lin, Djallel Bouneffouf
Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. CoRR (2021)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish
Toward Skills Dialog Orchestration with Online Learning. ICASSP (2021)
Djallel Bouneffouf
Etat de l'art sur l'application des bandits multi-bras. CoRR (2021)
Djallel Bouneffouf, Emmanuelle Claeys
Online Hyper-Parameter Tuning for the Contextual Bandit. ICASSP (2021)
Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation. CoRR (2021)
Djallel Bouneffouf
Corrupted Contextual Bandits: Online Learning with Corrupted Context. ICASSP (2021)
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray
An ADMM Based Framework for AutoML Pipeline Configuration. AAAI (2020)
Djallel Bouneffouf
Computing the Dirichlet-Multinomial Log-Likelihood Function. CoRR (2020)
Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf
Online Semi-Supervised Learning with Bandit Feedback. CoRR (2020)
Djallel Bouneffouf, Emmanuelle Claeys
Hyper-parameter Tuning for the Contextual Bandit. CoRR (2020)
Djallel Bouneffouf
Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling. CoRR (2020)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. AAMAS (2020)
Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin
Learned Fine-Tuner for Incongruous Few-Shot Learning. CoRR (2020)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. CoRR (2020)
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
Survey on Automated End-to-End Data Science? IJCNN (2020)
Djallel Bouneffouf, Sohini Upadhyay, Yasaman Khazaeni
Contextual Bandit with Missing Rewards. CoRR (2020)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. HBAI@IJCAI (2020)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. CoRR (2020)
Djallel Bouneffouf, Irina Rish, Charu C. Aggarwal
Survey on Applications of Multi-Armed and Contextual Bandits. CEC (2020)
Shubham Sharma, Yunfeng Zhang, Jesús M. Ríos Aliaga, Djallel Bouneffouf, Vinod Muthusamy, Kush R. Varshney
Data Augmentation for Discrimination Prevention and Bias Disambiguation. AIES (2020)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. CoRR (2020)
Djallel Bouneffouf
Online learning with Corrupted context: Corrupted Contextual Bandits. CoRR (2020)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish
Double-Linear Thompson Sampling for Context-Attentive Bandits. CoRR (2020)
Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
Solving Constrained CASH Problems with ADMM. CoRR (2020)
Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni
A Bandit Approach to Posterior Dialog Orchestration Under a Budget. CoRR (2019)
Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray
Automated Machine Learning via ADMM. CoRR (2019)
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Incorporating Behavioral Constraints in Online AI Systems. AAAI (2019)
Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. ICML (2019)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI (2019)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. CoRR (2019)
Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini
Scalable Recollections for Continual Lifelong Learning. AAAI (2019)
Djallel Bouneffouf, Irina Rish
A Survey on Practical Applications of Multi-Armed and Contextual Bandits. CoRR (2019)
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
How can AI Automate End-to-End Data Science? CoRR (2019)
Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. IJCAI (2019)
Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit. CoRR (2019)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. IJCAI (2019)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63 (4/5) (2019)
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Using multi-armed bandits to learn ethical priorities for online AI systems. IBM J. Res. Dev. 63 (4/5) (2019)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. CoRR (2019)
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. IJCAI (2018)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish
Contextual Bandit with Adaptive Feature Extraction. ICDM Workshops (2018)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. CoRR (2018)
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Incorporating Behavioral Constraints in Online AI Systems. CoRR (2018)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish
Adaptive Representation Selection in Contextual Bandit with Unlabeled History. CoRR (2018)
Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
Beyond Backprop: Alternating Minimization with co-Activation Memory. CoRR (2018)
Djallel Bouneffouf
Eigenspectrum Shape Based Nyström Sampling. IJCNN (2018)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
Bandit Models of Human Behavior: Reward Processing in Mental Disorders. CoRR (2017)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
Context Attentive Bandits: Contextual Bandit with Restricted Context. CoRR (2017)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
Context Attentive Bandits: Contextual Bandit with Restricted Context. IJCAI (2017)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
Bandit Models of Human Behavior: Reward Processing in Mental Disorders. AGI (2017)
Djallel Bouneffouf
Contextual bandit algorithm for risk-aware recommender systems. CEC (2016)
Djallel Bouneffouf, Inanç Birol
Theoretical analysis of the Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. IJCNN (2016)
Djallel Bouneffouf
Finite-time analysis of the multi-armed bandit problem with known trend. CEC (2016)
Djallel Bouneffouf, Inanç Birol
Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. IJCNN (2016)
Djallel Bouneffouf, Raphaël Féraud
Multi-armed bandit problem with known trend. Neurocomputing 205 (2016)
Djallel Bouneffouf
Exponentiated Gradient Exploration for Active Learning. Comput. 5 (1) (2016)
Djallel Bouneffouf, Inanç Birol
Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering. IJCAI (2015)
Djallel Bouneffouf
Freshness-Aware Thompson Sampling. CoRR (2014)
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo
Contextual Bandit for Active Learning: Active Thompson Sampling. ICONIP (1) (2014)
Djallel Bouneffouf
Freshness-Aware Thompson Sampling. ICONIP (3) (2014)
Djallel Bouneffouf
R-UCB: a Contextual Bandit Algorithm for Risk-Aware Recommender Systems. CoRR (2014)
Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
A Neural Networks Committee for the Contextual Bandit Problem. ICONIP (1) (2014)
Djallel Bouneffouf
Exponentiated Gradient Exploration for Active Learning. CoRR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Djallel Bouneffouf