Publications: Dr Paulo Rauber

Sasso R, Conserva M, Rauber P ( 2023 ) . Posterior Sampling for Deep Reinforcement Learning . Proceedings of Machine Learning Research . Conference: International Conference on Machine Learning vol. 202 , 30042 - 30061 .

Conserva M, Rauber P ( 2022 ) . Hardness in Markov Decision Processes: Theory and Practice . Conference: Advances in Neural Information Processing Systems

Ramesh A, Rauber P, Conserva M, Schmidhuber J ( 2022 ) . Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits . Neural Computation vol. 34 , 1 - 41 .

Conserva M, Rauber P ( 2022 ) . Hardness in Markov Decision Processes: Theory and Practice . Advances in Neural Information Processing Systems . Conference: Neural Information Processing Systems vol. 35 ,

Rauber P, Ummadisingu A, Mutz F, Schmidhuber J ( 2021 ) . Reinforcement Learning in Sparse-Reward Environments with Hindsight Policy Gradients . Neural Computation

Rauber P, Ummadisingu A, Mutz F, Schmidhuber J ( 2019 ) . Hindsight policy gradients . International Conference on Learning Representations . Conference: ICLR 20191 - 1 .

Kruiger JF, Rauber PE, Martins RM, Kerren A, Kobourov S, Telea AC ( 2017 ) . Graph Layouts by t‐SNE . Computer Graphics Forum vol. 36 , ( 3 ) 283 - 294 .

Rauber PE, Falcão AX, Telea AC ( 2017 ) . Projections as visual aids for classification system design . Information Visualization vol. 17 , ( 4 ) 282 - 305 .

Rauber PE, Falcão AX, Telea AC ( 2016 ) . Visualizing Time-Dependent Data Using Dynamic t-SNE . Conference: EuroVis (Short Papers)

Rauber PE, Fadel SG, Falcao AX, Telea AC ( 2016 ) . Visualizing the Hidden Activity of Artificial Neural Networks . IEEE Transactions on Visualization and Computer Graphics vol. 23 , ( 1 ) 101 - 110 .

Rauber PE, Falcão AX, Spina TV, de Rezende PJ ( 2013 ) . Interactive Segmentation by Image Foresting Transform on Superpixel Graphs . Conference: 2013 XXVI Conference on Graphics, Patterns and Images131 - 138 .