| Distributional Reinforcement Learning for Efficient Exploration B Mavrin, H Yao, L Kong, K Wu, Y Yu International Conference on Machine Learning, 2019 | 104 | 2019 |
| Quota: The quantile option architecture for reinforcement learning S Zhang, H Yao Proceedings of the AAAI conference on artificial intelligence 33 (01), 5797-5804, 2019 | 37 | 2019 |
| House price modeling over heterogeneous regions with hierarchical spatial functional analysis B Liu, B Mavrin, D Niu, L Kong 2016 IEEE 16th International Conference on Data Mining (ICDM), 1047-1052, 2016 | 22 | 2016 |
| Self-supervised contrastive BERT fine-tuning for fusion-based reviewed-item retrieval MM Abdollah Pour, P Farinneya, A Toroghi, A Korikov, A Pesaranghader, ... European Conference on Information Retrieval, 3-17, 2023 | 14* | 2023 |
| Deep reinforcement learning with decorrelation B Mavrin, H Yao, L Kong arXiv preprint arXiv:1903.07765, 2019 | 12 | 2019 |
| Optimal search with neural networks: Challenges and approaches T Li, R Chen, B Mavrin, NR Sturtevant, D Nadav, A Felner Proceedings of the International Symposium on Combinatorial Search 15 (1 …, 2022 | 8 | 2022 |
| Systems and methods for learning reusable options to transfer knowledge between tasks B Mavrin, DM Graves US Patent 11,511,413, 2022 | 7 | 2022 |
| Linglong Kong, Kaiwen Wu, and Yaoliang Yu B Mavrin, S Zhang, H Yao Distributional reinforcement learning for efficient exploration. ArXiv, abs …, 2019 | 5 | 2019 |
| Spatial data reconstruction via ADMM and spatial spline regression B Liu, B Mavrin, L Kong, D Niu Applied Sciences 9 (9), 1733, 2019 | 4 | 2019 |
| Di Niu, and Linglong Kong. 2016. House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis B Liu, B Mavrin IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Spain …, 0 | 3 | |
| Exploration in the face of parametric and intrinsic uncertainties B Mavrin, S Zhang, H Yao, L Kong Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 2 | 2019 |
| Statistical Modeling of Stance Detection B Mavrin | 2 | 2017 |
| The search for the compactified Kerr solution B Mavrin Concordia University, 2015 | 2 | 2015 |
| Efficient decorrelation of features using Gramian in Reinforcement Learning B Mavrin, D Graves, A Chan arXiv preprint arXiv:1911.08610, 2019 | 1 | 2019 |
| Artificial intelligence device for multi-purpose retrieval for knowledge base question and answering and control method thereof M Bharadwaj, Y Ji, Y Liu, B Mavrin US Patent App. 18/416,163, 2024 | | 2024 |
| Artificial intelligence device for entity linking and knowledge base question and answering and control method thereof M Bharadwaj, Y Ji, Y Liu, B Mavrin, T Sajed, A Pesaranghader US Patent App. 18/393,313, 2024 | | 2024 |
| Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval M Mahdi Abdollah Pour, P Farinneya, A Toroghi, A Korikov, ... arXiv e-prints, arXiv: 2308.00762, 2023 | | 2023 |
| Recover Fine-Grained Spatial Data from Coarse Aggregation B Liu, B Mavrin, L Kong, D Niu 2017 IEEE International Conference on Data Mining (ICDM), 961-966, 2017 | | 2017 |
| Exploration using Distributional RL and UCB B Mavrin, H Yao, L Kong | | |
