Djallel Bouneffouf
26 papers · 2015–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Conference Polyglot (7)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(101)
π
Conference Pioneer
π
Century Club
(24)
π₯
Unstoppable
(9)
β
The Questioner
β‘
Prolific Year
(5)
Conferences
IJCAI (10)
AAAI (6)
NAACL (4)
ICML (2)
NIPS (2)
ACL (1)
UAI (1)
Top co-authors
Keywords
contextual bandit
(7)
online learning
(7)
multi-armed bandit
(5)
regret bound
(4)
thompson sampling
(4)
large language model
(4)
recommender system
(3)
hyperparameter optimization
(2)
multi-agent system
(2)
behavioral constraint
(2)
pipeline optimization
(2)
value alignment
(2)
reinforcement learning
(2)
recommendation system
(2)
prompt engineering
(1)
few-shot learning
(1)
decision making
(1)
natural language processing
(1)
neural network training
(1)
regret analysis
(1)
Papers
Multi-Armed Bandits Meet Large Language Models
AAAI 2026
The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships?
AAAI 2026
Position: Theory of Mind Benchmarks are Broken for Large Language Models
ICML 2025
Evaluating the Prompt Steerability of Large Language Models
NAACL 2025
Working Alliance Transformer for Psychotherapy Dialogue Classification
NAACL 2024
Towards Healthy AI: Large Language Models Need Therapists Too
NAACL 2024
Interpolating Item and User Fairness in Multi-Sided Recommendations
NIPS 2024
Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models
NAACL 2024
ComVas: Contextual Moral Values Alignment System
IJCAI 2024
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
NIPS 2023
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
ACL 2023
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
IJCAI 2023
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
IJCAI 2022
Linearizing contextual bandits with latent state dynamics
UAI 2022
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
AAAI 2022
Toward Optimal Solution for the Context-Attentive Bandit Problem
IJCAI 2021
An ADMM Based Framework for AutoML Pipeline Configuration
AAAI 2020
Incorporating Behavioral Constraints in Online AI Systems
AAAI 2019
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit
IJCAI 2019
Scalable Recollections for Continual Lifelong Learning
AAAI 2019
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
ICML 2019
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
IJCAI 2019
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
IJCAI 2019
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation
IJCAI 2018
Context Attentive Bandits: Contextual Bandit with Restricted Context
IJCAI 2017
Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering
IJCAI 2015