Nicholas G. Polson

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Partial Least Squares

Portfolio Theory

Markov Chain Monte Carlo

Top Venues

J. Mach. Learn. Res.

Publications

Jyotishka Datta, Nicholas G. Polson
Bayesian Deep ICE. CoRR (2024)
Nicholas G. Polson, Vadim Sokolov, Jianeng Xu
Quantum Bayes AI. CoRR (2022)
Matthew F. Dixon, Nicholas G. Polson, Kemen Goicoechea
Deep Partial Least Squares for Empirical Asset Pricing. CoRR (2022)
Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, Vadim Sokolov, Jianeng Xu
Merging Two Cultures: Deep and Statistical Learning. CoRR (2021)
Matthew F. Dixon, Nicholas G. Polson
Deep Fundamental Factor Models. CoRR (2019)
Anindya Bhadra, Jyotishka Datta, Yunfan Li, Nicholas G. Polson, Brandon T. Willard
Prediction Risk for the Horseshoe Regression. J. Mach. Learn. Res. 20 (2019)
Yuexi Wang, Nicholas G. Polson, Vadim O. Sokolov
Scalable Data Augmentation for Deep Learning. CoRR (2019)
Nozer D. Singpurwalla, Nicholas G. Polson, Refik Soyer
From Least Squares to Signal Processing and Particle Filtering. Technometrics 60 (2) (2018)
Guanhao Feng, Jingyu He, Nicholas G. Polson
Deep Learning for Predicting Asset Returns. CoRR (2018)
Nicholas G. Polson, Vadim O. Sokolov
Deep Learning. CoRR (2018)
J. B. Heaton, Nicholas G. Polson, J. H. Witte
Deep Learning in Finance. CoRR (2016)
J. B. Heaton, Nicholas G. Polson, J. H. Witte
Deep Portfolio Theory. CoRR (2016)
Nicholas G. Polson, James G. Scott, Brandon T. Willard
Proximal Algorithms in Statistics and Machine Learning. CoRR (2015)
Tahir Ekin, Nicholas G. Polson, Refik Soyer
Augmented Markov Chain Monte Carlo Simulation for Two-Stage Stochastic Programs with Recourse. Decis. Anal. 11 (4) (2014)
Carlos M. Carvalho, Nicholas G. Polson, James G. Scott
Handling Sparsity via the Horseshoe. AISTATS (2009)