Hilaf Hasson

According to our database, Hilaf Hasson authored at least 10 papers between 2016 and 2023.

Collaborative distances:

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

2023

Testing Causality for High Dimensional Data.

Arun Jambulapati, Hilaf Hasson, Youngsuk Park, Yuyang Wang

CoRR, 2023

Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting.

Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park

Proceedings of the International Conference on Machine Learning, 2023

Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms.

Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Luke Huan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI.

Charles Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Luke Huan

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

2022

Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms.

Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan

CoRR, 2022

8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications.

Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR.

Dheeraj Baby, Hilaf Hasson, Yuyang Wang

CoRR, 2021

Probabilistic Forecasting: A Level-Set Approach.

Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Normalizing Kalman Filters for Multivariate Time Series Analysis.

Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2016

Suzuki-invariant codes from the Suzuki curve.

Abdulla Eid, Hilaf Hasson, Amy Ksir, Justin D. Peachey

Des. Codes Cryptogr., 2016