Hilaf Hasson - RankMe

18 papers A* 5A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decomposing Epistemic Uncertainty for Causal Decision Making. CoRR Md. Musfiqur Rahman, Ziwei Jiang, Hilaf Hasson, Murat Kocaoglu
2026	J	`jnl`	RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning. CoRR Xiang Gao, Yuguang Yao, Qi Zhang, Kaiwen Dong, Avinash Baidya, Ruocheng Guo, Hilaf Hasson, Kamalika Das
2025	J	`jnl`	Node-Level Uncertainty Estimation in LLM-Generated SQL. CoRR Hilaf Hasson, Ruocheng Guo
2025	J	`jnl`	OMAC: A Broad Optimization Framework for LLM-Based Multi-Agent Collaboration. CoRR Shijun Li, Hilaf Hasson, Joydeep Ghosh
2024	J	`jnl`	Goal-Conditioned Supervised Learning for Multi-Objective Recommendation. CoRR Shijun Li, Hilaf Hasson, Jing Hu, Joydeep Ghosh
2024	—	`conf`	HyQE: Ranking Contexts with Hypothetical Query Embeddings. EMNLP (Findings) Weichao Zhou, Jiaxin Zhang, Hilaf Hasson, Anu Singh, Wenchao Li
2024	J	`jnl`	HyQE: Ranking Contexts with Hypothetical Query Embeddings. CoRR Weichao Zhou, Jiaxin Zhang, Hilaf Hasson, Anu Singh, Wenchao Li
2023	A	`conf`	But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI. AISTATS Charles Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Luke Huan
2023	A*	`conf`	Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. ICLR Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Luke Huan
2023	J	`jnl`	Testing Causality for High Dimensional Data. CoRR Arun Jambulapati, Hilaf Hasson, Youngsuk Park, Yuyang Wang
2023	A*	`conf`	Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. ICML Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park
2023	J	`jnl`	Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. CoRR Hilaf Hasson, Danielle C. Maddix, Yuyang Wang, Gaurav Gupta, Youngsuk Park
2022	A*	`conf`	8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
2022	J	`jnl`	Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. CoRR Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan
2021	J	`jnl`	Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR. CoRR Dheeraj Baby, Hilaf Hasson, Yuyang Wang
2021	A*	`conf`	Probabilistic Forecasting: A Level-Set Approach. NeurIPS Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus
2020	A*	`conf`	Normalizing Kalman Filters for Multivariate Time Series Analysis. NeurIPS Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski
2016	J	`jnl`	Suzuki-invariant codes from the Suzuki curve. Des. Codes Cryptogr. Abdulla Eid, Hilaf Hasson, Amy Ksir, Justin D. Peachey