Rajbir-Singh Nirwan

According to our database, Rajbir-Singh Nirwan authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Adaptive Sampling for Probabilistic Forecasting under Distribution Shift.

Luca Masserano, Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Youngsuk Park, Michael Bohlke-Schneider

CoRR, 2023

Coherent Probabilistic Forecasting of Temporal Hierarchies.

Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Pedro Mercado, Tim Januschowski, Yuyang Wang, Michael Bohlke-Schneider

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series.

Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Shubham Kapoor, Rajbir-Singh Nirwan, Valentin Flunkert, Jan Gasthaus, Tim Januschowski

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Bayesian machine learning for financial modeling

Rajbir-Singh Nirwan

PhD thesis, 2021

2019

Applications of Gaussian Process Latent Variable Models in Finance.

Rajbir-Singh Nirwan, Nils Bertschinger

Proceedings of the Intelligent Systems and Applications, 2019

Rotation Invariant Householder Parameterization for Bayesian PCA.

Rajbir-Singh Nirwan, Nils Bertschinger

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

2018

Estimation of Covariance Matrices for Portfolio Optimization using Gaussian Processes.

Rajbir-Singh Nirwan, Nils Bertschinger

CoRR, 2018