Hilaf Hasson

Senior Staff Applied Scientist, Cohesity

Joined

May 2021

Names

Hilaf Hasson (Preferred)

Emails

****@amazon.com (Confirmed)

****@gmail.com (Confirmed)

****@intuit.com (Confirmed)

****@cohesity.com (Confirmed)

Personal Links

Career & Education History

Senior Staff Applied Scientist

Cohesity (cohesity.com)

2026 – Present

Principal Researcher

Intuit (intuit.com)

2023 – 2025

Researcher

Amazon (amazon.com)

2019 – 2023

Assistant Professor

Stanford University (stanford.edu)

2013 – 2016

Advisors, Relations & Conflicts

PhD Advisor

David Harbater

2006 – 2012

Expertise

Causality

LLMs

2021 – 2024

Time Series Forecasting

Anomaly Detection

Ensembling

Deep Learning

Explainability

Uncertainty Quantification

2019 – 2024

Pure Mathematics

Algebraic Geometry

Riemannian Geometry

Consistency Proofs

2006 – 2024

Publications

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
Shijun Li, Hilaf Hasson, Jing Hu, Joydeep Ghosh
- Submitted to ICLR 2026
- Readers: Everyone
Improving Tool-Using Language Agents via MDL‑Guided Rule Learning
Xiang Gao, Yuguang Yao, Qi Zhang, Kaiwen Dong, Avinash Baidya, Ruocheng Guo, Hilaf Hasson, Kamalika Das
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
OMAC: A Broad Optimization Framework for LLM-Based Multi-Agent Collaboration
Shijun Li, Hilaf Hasson, Joydeep Ghosh
- Submitted to ICLR 2026
- Readers: Everyone
Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
Shijun Li, Hilaf Hasson, Joydeep Ghosh
- OpenReview Archive Direct Upload
- Readers: Everyone
Forecasting with Trees
Hilaf Hasson, Tim Januschowski, Bernie Wang, Kari Torkkola, Tim Erkkila, Jan Gasthaus
- International Journal of Forecasting
- Readers: Everyone
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park
- ICML 2023 Poster
- Readers: Everyone
Testing Causality for High Dimensional Data
Arun Jambulapati, Hilaf Hasson, Youngsuk Park, Yuyang Wang
- 2023 (modified: 10 Apr 2023)
- CoRR 2023
- Readers: Everyone
But Are You Sure? Quantifying Uncertainty in Model Explanations
Charles Thomas Marx, Youngsuk Park, Hilaf Hasson, Bernie Wang, Stefano Ermon, Luke Huan
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Luke Huan
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
DYNAMIC ENSEMBLE FOR PROBABILISTIC TIME- SERIES FORECASTING VIA DEEP REINFORCEMENT LEARNING
Yuhao Ding, Youngsuk Park, Karthick Gopalswamy, Hilaf Hasson, Bernie Wang, Jun Huan
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone

View all 17 publications

Co-Authors

View all 44 co-authors