Bibliography

BKH16

Ba, Jimmy Lei, Jamie Ryan Kiros, and Geoffrey E. Hinton. “Layer normalization.” arXiv preprint arXiv:1607.06450 (2016).

BKK18

Bai, Shaojie, J. Zico Kolter, and Vladlen Koltun. “An empirical evaluation of generic convolutional and recurrent networks for sequence modeling.” arXiv preprint arXiv:1803.01271 (2018).

LCY+18

Lai, Guokun, et al. “Modeling long-and short-term temporal patterns with deep neural networks.” The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. ACM, 2018.

MKH19

Muller, Rafael, Simon Kornblith, and Geoffrey E. Hinton. “When does label smoothing help?.” Advances in Neural Information Processing Systems. 2019.

ODZ+16

Oord, Aaron van den, et al. “Wavenet: A generative model for raw audio.” arXiv preprint arXiv:1609.03499 (2016).

PKC+16

Paine, Tom Le, et al. “Fast wavenet generation algorithm.” arXiv preprint arXiv:1611.09482 (2016).

RSG+18

Rangapuram, Syama Sundar, et al. “Deep state space models for time series forecasting.” Advances in Neural Information Processing Systems. 2018.

SFG17

Salinas, David, Valentin Flunkert, and Jan Gasthaus. “DeepAR: Probabilistic forecasting with autoregressive recurrent networks.” arXiv preprint arXiv:1704.04110 (2017).

WTN+17

Wen, Ruofeng, et al. “A multi-horizon quantile recurrent forecaster.” arXiv preprint arXiv:1711.11053 (2017).

YRD15

Yu, Hsiang-Fu, Nikhil Rao, and Inderjit S. Dhillon. “High-dimensional time series prediction with missing values.” arXiv preprint arXiv:1509.08333 (2015).