Djallel Bouneffouf

CoRR, 2023

Towards Healthy AI: Large Language Models Need Therapists Too.

[BibT_eX]

[DOI]

CoRR, 2023

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Compositional Generalization in Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Stochastic Multi-Armed Bandits with Historical Data.

[BibT_eX]

[DOI]

Sarah Boufelja Yacobi

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Non-Stationary Bandits with Auto-Regressive Temporal Dependency.

[BibT_eX]

[DOI]

Qinyi Chen

Negin Golrezaei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Helping Therapists with NLP-Annotated Recommendation 17-24.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dialogue System with Missing Observation.

[BibT_eX]

[DOI]

Mayank Agarwal

Proceedings of the IEEE International Conference on Acoustics, 2023

Question Answering System with Sparse and Noisy Feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Dynamic Bandits with an Auto-Regressive Temporal Structure.

[BibT_eX]

[DOI]

Qinyi Chen

Negin Golrezaei

CoRR, 2022

Working Alliance Transformer for Psychotherapy Dialogue Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Survey on Applications of Neurosymbolic Artificial Intelligence.

[BibT_eX]

[DOI]

Charu C. Aggarwal

CoRR, 2022

Targeted Advertising on Social Networks Using Online Variational Tensor Regression.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Topic Modeling of Psychotherapy Sessions.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Annotation of Therapeutic Working Alliance in Psychotherapy.

[BibT_eX]

[DOI]

CoRR, 2022

Reinforcement learning with algorithms from probabilistic structure estimation.

[BibT_eX]

[DOI]

Jonathan P. Epperlein

Autom., 2022

Linearizing contextual bandits with latent state dynamics.

[BibT_eX]

[DOI]

Elliot Nelson

Debarun Bhattacharjya

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Predicting Human Decision Making with LSTM.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Linear Upper Confident Bound with Missing Reward: Online Learning with Less Data.

[BibT_eX]

[DOI]

Sohini Upadhyay

Yasaman Khazaeni

Proceedings of the International Joint Conference on Neural Networks, 2022

Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Etat de l'art sur l'application des bandits multi-bras.

[BibT_eX]

[DOI]

CoRR, 2021

Toward Optimal Solution for the Context-Attentive Bandit Problem.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Double-Linear Thompson Sampling for Context-Attentive Bandits.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Toward Skills Dialog Orchestration with Online Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Online Hyper-Parameter Tuning for the Contextual Bandit.

[BibT_eX]

[DOI]

Emmanuelle Claeys

Proceedings of the IEEE International Conference on Acoustics, 2021

Corrupted Contextual Bandits: Online Learning with Corrupted Context.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Online Semi-Supervised Learning with Bandit Feedback.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Learned Fine-Tuner for Incongruous Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Computing the Dirichlet-Multinomial Log-Likelihood Function.

[BibT_eX]

[DOI]

CoRR, 2020

Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling.

[BibT_eX]

[DOI]

CoRR, 2020

Contextual Bandit with Missing Rewards.

[BibT_eX]

[DOI]

Sohini Upadhyay

Yasaman Khazaeni

CoRR, 2020

Online learning with Corrupted context: Corrupted Contextual Bandits.

[BibT_eX]

[DOI]

CoRR, 2020

Solving Constrained CASH Problems with ADMM.

[BibT_eX]

[DOI]

CoRR, 2020

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.

[BibT_eX]

[DOI]

CoRR, 2020

Hyper-parameter Tuning for the Contextual Bandit.

[BibT_eX]

[DOI]

Emmanuelle Claeys

CoRR, 2020

Survey on Automated End-to-End Data Science?

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.

[BibT_eX]

[DOI]

Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

Survey on Applications of Multi-Armed and Contextual Bandits.

[BibT_eX]

[DOI]

Charu C. Aggarwal

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Data Augmentation for Discrimination Prevention and Bias Disambiguation.

[BibT_eX]

[DOI]

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

An ADMM Based Framework for AutoML Pipeline Configuration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Teaching AI agents ethical values using reinforcement learning and policy orchestration.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2019

Using multi-armed bandits to learn ethical priorities for online AI systems.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2019

How can AI Automate End-to-End Data Science?

[BibT_eX]

[DOI]

CoRR, 2019

Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders.

[BibT_eX]

[DOI]

CoRR, 2019

A Bandit Approach to Posterior Dialog Orchestration Under a Budget.

[BibT_eX]

[DOI]

CoRR, 2019

Automated Machine Learning via ADMM.

[BibT_eX]

[DOI]

CoRR, 2019

A Survey on Practical Applications of Multi-Armed and Contextual Bandits.

[BibT_eX]

[DOI]

CoRR, 2019

Split Q Learning: Reinforcement Learning with Two-Stream Rewards.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Optimal Exploitation of Clustering and History Information in Multi-armed Bandit.

[BibT_eX]

[DOI]

Srinivasan Parthasarathy

Horst Samulowitz

Martin Wistuba

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Beyond Backprop: Online Alternating Minimization with Auxiliary Variables.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Scalable Recollections for Continual Lifelong Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Incorporating Behavioral Constraints in Online AI Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration.

[BibT_eX]

[DOI]

CoRR, 2018

Beyond Backprop: Alternating Minimization with co-Activation Memory.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Representation Selection in Contextual Bandit with Unlabeled History.

[BibT_eX]

[DOI]

CoRR, 2018

Eigenspectrum Shape Based Nyström Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Contextual Bandit with Adaptive Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Context Attentive Bandits: Contextual Bandit with Restricted Context.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Bandit Models of Human Behavior: Reward Processing in Mental Disorders.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 10th International Conference, 2017

2016

Multi-armed bandit problem with known trend.

[BibT_eX]

[DOI]

Raphaël Féraud

Neurocomputing, 2016

Exponentiated Gradient Exploration for Active Learning.

[BibT_eX]

[DOI]

Comput., 2016

Theoretical analysis of the Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering.

[BibT_eX]

[DOI]

Inanç Birol

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering.

[BibT_eX]

[DOI]

Inanç Birol

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Contextual bandit algorithm for risk-aware recommender systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Finite-time analysis of the multi-armed bandit problem with known trend.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering.

[BibT_eX]

[DOI]

Inanç Birol

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

R-UCB: a Contextual Bandit Algorithm for Risk-Aware Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2014

Étude des dimensions spécifiques du contexte dans un système de filtrage d'informations.

[BibT_eX]

[DOI]

CoRR, 2014

Recommandation mobile, sensible au contexte de contenus évolutifs: Contextuel-E-Greedy.

[BibT_eX]

[DOI]

CoRR, 2014

Context-Based Information Retrieval in Risky Environment.

[BibT_eX]

[DOI]

Aust. J. Intell. Inf. Process. Syst., 2014

Contextual Bandit for Active Learning: Active Thompson Sampling.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Freshness-Aware Thompson Sampling.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Neural Networks Committee for the Contextual Bandit Problem.

[BibT_eX]

[DOI]

Robin Allesiardo

Raphaël Féraud

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

DRARS, A Dynamic Risk-Aware Recommender System.

[BibT_eX]

[DOI]

PhD thesis, 2013

Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits

[BibT_eX]

[DOI]

CoRR, 2013

Evolution of the user's content: An Overview of the state of the art

[BibT_eX]

[DOI]

CoRR, 2013

Mobile Recommender Systems Methods: An Overview

[BibT_eX]

[DOI]

CoRR, 2013

Towards User Profile Modelling in Recommender System

[BibT_eX]

[DOI]

CoRR, 2013

The Impact of Situation Clustering in Contextual-Bandit Algorithm for Context-Aware Recommender Systems

[BibT_eX]

[DOI]

CoRR, 2013

Hybrid Q-Learning Applied to Ubiquitous recommender system

[BibT_eX]

[DOI]

CoRR, 2013

Proposition d'une technique de gestion de projet dans les startups

[BibT_eX]

[DOI]

CoRR, 2013

Improving adaptation of ubiquitous recommander systems by using reinforcement learning and collaborative filtering

[BibT_eX]

[DOI]

CoRR, 2013

Optimizing an Utility Function for Exploration / Exploitation Trade-off in Context-Aware Recommender System

[BibT_eX]

[DOI]

CoRR, 2013

Situation-Aware Approach to Improve Context-based Recommender System

[BibT_eX]

[DOI]

CoRR, 2013

Applying machine learning techniques to improve user acceptance on ubiquitous environement

[BibT_eX]

[DOI]

CoRR, 2013

Contextual Bandits for Context-Based Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Risk-Aware Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Hybrid-ε-greedy for Mobile Context-Aware Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Considering the High Level Critical Situations in Context-Aware Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Information Management for Mobile Applications, 2012

A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Exploration / Exploitation Trade-Off in Mobile Context-Aware Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Following the User's Interests in Mobile Context-Aware Recommender Systems: The Hybrid-e-greedy Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012

2011

Applying Machine Learning Techniques to Improve User Acceptance on Ubiquitous Environment.

[BibT_eX]

[DOI]