House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. - Bang Liu; Borislav Mavrin; Di Niu; Linglong Kong (ICDM, 2016)

Recover Fine-Grained Spatial Data from Coarse Aggregation. - Bang Liu; Borislav Mavrin; Linglong Kong; Di Niu (ICDM, 2017)

QUOTA: The Quantile Option Architecture for Reinforcement Learning. - Shangtong Zhang; Borislav Mavrin; Linglong Kong; Bo Liu 006; Hengshuai Yao (CoRR, 2018)

Exploration in the Face of Parametric and Intrinsic Uncertainties. - Borislav Mavrin; Shangtong Zhang; Hengshuai Yao; Linglong Kong (AAMAS, 2019)

Distributional Reinforcement Learning for Efficient Exploration. - Borislav Mavrin; Hengshuai Yao; Linglong Kong; Kaiwen Wu; Yaoliang Yu (ICML, 2019)

Deep Reinforcement Learning with Decorrelation. - Borislav Mavrin; Hengshuai Yao; Linglong Kong (CoRR, 2019)

Distributional Reinforcement Learning for Efficient Exploration. - Borislav Mavrin; Shangtong Zhang; Hengshuai Yao; Linglong Kong; Kaiwen Wu; Yaoliang Yu (CoRR, 2019)

Efficient decorrelation of features using Gramian in Reinforcement Learning. - Borislav Mavrin; Daniel Graves; Alan Chan 001 (CoRR, 2019)

Optimal Search with Neural Networks: Challenges and Approaches. - Tianhua Li; Ruimin Chen; Borislav Mavrin; Nathan R. Sturtevant; Doron Nadav; Ariel Felner (SOCS, 2022)

Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval. - Mohammad Mahdi Abdollah Pour; Parsa Farinneya; Armin Toroghi; Anton Korikov; Ali Pesaranghader; Touqir Sajed; Manasa Bharadwaj; Borislav Mavrin; Scott Sanner (ECIR (1), 2023)