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Djallel Bouneffouf

Identifiers

  • name variant Djallel Bouneffouf 0.60 · backfill

Papers (72)

  1. Mitigating Misalignment Contagion by Steering with Implicit Traits cs.AI · 2026 · author #6
  2. Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind cs.AI · 2025 · author #16
  3. Agentic AI Needs a Systems Theory cs.AI · 2025 · author #5
  4. Scopes of Alignment cs.CY · 2025 · author #3
  5. Position: Theory of Mind Benchmarks are Broken for Large Language Models cs.AI · 2024 · author #3
  6. Evaluating the Prompt Steerability of Large Language Models cs.CL · 2024 · author #7
  7. Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems cs.CY · 2024 · author #3
  8. Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models cs.CL · 2024 · author #3
  9. Contextual Moral Value Alignment Through Context-Based Aggregation cs.AI · 2024 · author #10
  10. Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations cs.LG · 2024 · author #7
  11. Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations cs.CL · 2024 · author #3
  12. COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling cs.CL · 2024 · author #2
  13. Interpolating Item and User Fairness in Multi-Sided Recommendations cs.IR · 2023 · author #4
  14. Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis cs.CL · 2023 · author #5
  15. Towards Healthy AI: Large Language Models Need Therapists Too cs.AI · 2023 · author #2
  16. Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics cs.LG · 2023 · author #3
  17. TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts cs.CL · 2023 · author #3
  18. A Survey on Compositional Generalization in Applications cs.AI · 2023 · author #2
  19. Non-Stationary Bandits with Auto-Regressive Temporal Dependency cs.LG · 2022 · author #3
  20. Working Alliance Transformer for Psychotherapy Dialogue Classification cs.CL · 2022 · author #3
  21. Survey on Applications of Neurosymbolic Artificial Intelligence cs.AI · 2022 · author #1
  22. SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning cs.CL · 2022 · author #3
  23. Targeted Advertising on Social Networks Using Online Variational Tensor Regression cs.SI · 2022 · author #3
  24. Neural Topic Modeling of Psychotherapy Sessions cs.CL · 2022 · author #2
  25. Deep Annotation of Therapeutic Working Alliance in Psychotherapy q-bio.NC · 2022 · author #3
  26. Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget cs.LG · 2021 · author #2
  27. Reinforcement Learning with Algorithms from Probabilistic Structure Estimation cs.LG · 2021 · author #5
  28. Etat de l'art sur l'application des bandits multi-bras cs.LG · 2021 · author #1
  29. Predicting human decision making in psychological tasks with recurrent neural networks cs.LG · 2020 · author #2
  30. Double-Linear Thompson Sampling for Context-Attentive Bandits cs.LG · 2020 · author #1
  31. Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations cs.LG · 2020 · author #5
  32. Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling cs.LG · 2020 · author #1
  33. Computing the Dirichlet-Multinomial Log-Likelihood Function stat.ML · 2020 · author #1
  34. Contextual Bandit with Missing Rewards cs.LG · 2020 · author #1
  35. Online learning with Corrupted context: Corrupted Contextual Bandits cs.LG · 2020 · author #1
  36. Solving Constrained CASH Problems with ADMM cs.LG · 2020 · author #5
  37. Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior cs.GT · 2020 · author #2
  38. Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL cs.AI · 2020 · author #3
  39. Hyper-parameter Tuning for the Contextual Bandit cs.LG · 2020 · author #1
  40. How can AI Automate End-to-End Data Science? cs.AI · 2019 · author #2
  41. A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry cs.LG · 2019 · author #3
  42. Split Q Learning: Reinforcement Learning with Two-Stream Rewards cs.LG · 2019 · author #2
  43. Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit cs.LG · 2019 · author #1
  44. An ADMM Based Framework for AutoML Pipeline Configuration cs.LG · 2019 · author #4
  45. A Survey on Practical Applications of Multi-Armed and Contextual Bandits cs.LG · 2019 · author #1
  46. Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration cs.LG · 2018 · author #2
  47. Incorporating Behavioral Constraints in Online AI Systems cs.AI · 2018 · author #2
  48. Beyond Backprop: Online Alternating Minimization with Auxiliary Variables stat.ML · 2018 · author #11
  49. Contextual Bandit with Adaptive Feature Extraction cs.AI · 2018 · author #2
  50. Scalable Recollections for Continual Lifelong Learning cs.LG · 2017 · author #3
  51. Bandit Models of Human Behavior: Reward Processing in Mental Disorders cs.AI · 2017 · author #1
  52. Context Attentive Bandits: Contextual Bandit with Restricted Context cs.AI · 2017 · author #1
  53. Multi-armed Bandit Problem with Known Trend cs.LG · 2015 · author #1
  54. Freshness-Aware Thompson Sampling cs.IR · 2014 · author #1
  55. A Neural Networks Committee for the Contextual Bandit Problem cs.NE · 2014 · author #3
  56. Exponentiated Gradient Exploration for Active Learning cs.LG · 2014 · author #1
  57. R-UCB: a Contextual Bandit Algorithm for Risk-Aware Recommender Systems cs.IR · 2014 · author #1
  58. Context-Based Information Retrieval in Risky Environment cs.IR · 2014 · author #1
  59. \'Etude des dimensions sp\'ecifiques du contexte dans un syst\`eme de filtrage d'informations cs.IR · 2014 · author #1
  60. Recommandation mobile, sensible au contexte de contenus \'evolutifs: Contextuel-E-Greedy cs.AI · 2014 · author #1
  61. Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits cs.AI · 2013 · author #1
  62. Evolution of the user's content: An Overview of the state of the art cs.IR · 2013 · author #1
  63. Mobile Recommender Systems Methods: An Overview cs.IR · 2013 · author #1
  64. Towards User Profile Modelling in Recommender System cs.IR · 2013 · author #1
  65. The Impact of Situation Clustering in Contextual-Bandit Algorithm for Context-Aware Recommender Systems cs.IR · 2013 · author #1
  66. Hybrid Q-Learning Applied to Ubiquitous recommender system cs.LG · 2013 · author #1
  67. Proposition d'une technique de gestion de projet dans les startups cs.OH · 2013 · author #1
  68. Improving adaptation of ubiquitous recommander systems by using reinforcement learning and collaborative filtering cs.IR · 2013 · author #1
  69. Optimizing an Utility Function for Exploration / Exploitation Trade-off in Context-Aware Recommender System cs.IR · 2013 · author #1
  70. Situation-Aware Approach to Improve Context-based Recommender System cs.IR · 2013 · author #1
  71. Role of temporal inference in the recognition of textual inference cs.CL · 2013 · author #1
  72. Applying machine learning techniques to improve user acceptance on ubiquitous environement cs.IR · 2013 · author #1

Mentions

  • 2402.14701 #2 · arxiv_oai · confidence 0.70 Djallel Bouneffouf
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Frequent Coauthors