CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting.

@inproceedings{kamarthi-2022-camul, author = {Harshavardhan Kamarthi and Lingkai Kong and Alexander Rodr\'{i}guez and Chao Zhang and B. Aditya Prakash}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {3174--3185}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512037}, doi = {https://doi.org/10.1145/3485447.3512037} }