Hasan, Ali

14 publications

UAI 2025 Conditional Average Treatment Effect Estimation Under Hidden Confounders Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh

ICLR 2025 Elliptic Loss Regularization Ali Hasan, Haoming Yang, Yuting Ng, Vahid Tarokh

UAI 2025 Off-Policy Predictive Control with Causal Sensitivity Analysis Myrl G Marmarelis, Ali Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar

AISTATS 2025 Parabolic Continual Learning Haoming Yang, Ali Hasan, Vahid Tarokh

UAI 2024 Base Models for Parabolic Partial Differential Equations Xingzi Xu, Ali Hasan, Jie Ding, Vahid Tarokh

UAI 2024 Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions Patrick Kuiper, Ali Hasan, Wenhao Yang, Yuting Ng, Hoda Bidkhori, Jose Blanchet, Vahid Tarokh

AISTATS 2024 Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes Haoming Yang, Ali Hasan, Yuting Ng, Vahid Tarokh

ICLR 2023 Characteristic Neural Ordinary Differential Equation Xingzi Xu, Ali Hasan, Khalil Elkhalil, Jie Ding, Vahid Tarokh

UAI 2023 Inference and Sampling of Point Processes from Diffusion Excursions Ali Hasan, Yu Chen, Yuting Ng, Mohamed Abdelghani, Anderson Schneider, Vahid Tarokh

NeurIPSW 2023 Representation Learning for Extremes Ali Hasan, Yuting Ng, Jose Blanchet, Vahid Tarokh

NeurIPS 2022 Inference and Sampling for Archimax Copulas Yuting Ng, Ali Hasan, Vahid Tarokh

UAI 2022 Modeling Extremes with $d$-Max-Decreasing Neural Networks Ali Hasan, Khalil Elkhalil, Yuting Ng, João M. Pereira, Sina Farsiu, Jose Blanchet, Vahid Tarokh

AISTATS 2021 Fisher Auto-Encoders Khalil Elkhalil, Ali Hasan, Jie Ding, Sina Farsiu, Vahid Tarokh

UAI 2021 Generative Archimedean Copulas Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh