 Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of PlasticityKnowledge Discovery and Data Mining (KDD), 2025 |
 Partially Observable Contextual Bandits with Linear PayoffsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 |
 Meta Clustering of Neural BanditsKnowledge Discovery and Data Mining (KDD), 2024 |
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 Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement
LearningInternational Conference on Learning Representations (ICLR), 2023 |
 Online learning in bandits with predicted contextInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Scalable Neural Contextual Bandit for Recommender SystemsInternational Conference on Information and Knowledge Management (CIKM), 2023 |
 Context-lumpable stochastic banditsNeural Information Processing Systems (NeurIPS), 2023 |
 High Accuracy and Low Regret for User-Cold-Start Using Latent BanditsThe European Symposium on Artificial Neural Networks (ESANN), 2023 |
 Adversarial Online Collaborative FilteringInternational Conference on Algorithmic Learning Theory (ALT), 2023 |
 Optimal Algorithms for Latent Bandits with Cluster StructureInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Thompson Sampling with Diffusion Generative PriorInternational Conference on Machine Learning (ICML), 2023 |
 Information-Gathering in Latent BanditsKnowledge-Based Systems (KBS), 2022 |
 Mixed-Effect Thompson SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Deep Hierarchy in BanditsInternational Conference on Machine Learning (ICML), 2022 |
 Learning Mixtures of Linear Dynamical SystemsInternational Conference on Machine Learning (ICML), 2022 |
 Hierarchical Bayesian BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Analysis of Thompson Sampling for Partially Observable Contextual
Multi-Armed BanditsIEEE Control Systems Letters (L-CSS), 2021 Yash J. Patel Mohamad Kazem Shirani Faradonbeh |
 Thompson Sampling for Bandits with Clustered ArmsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 |
 Metadata-based Multi-Task Bandits with Bayesian Hierarchical ModelsNeural Information Processing Systems (NeurIPS), 2021 |
 Thompson Sampling with a Mixture PriorInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Feature and Parameter Selection in Stochastic Linear BanditsInternational Conference on Machine Learning (ICML), 2021 |
 Interaction-Grounded LearningInternational Conference on Machine Learning (ICML), 2021 |
 Meta-Thompson SamplingInternational Conference on Machine Learning (ICML), 2021 |
 Reinforcement Learning for Efficient and Tuning-Free Link AdaptationIEEE Transactions on Wireless Communications (TWC), 2020 |
