Etesami, Jalal

21 publications

CLeaR 2025 Causal Bandits Without Graph Learning Mikhail Konobeev, Jalal Etesami, Negar Kiyavash

NeurIPS 2025 Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making Larkin Liu, Jalal Etesami

JMLR 2025 Optimal Experiment Design for Causal Effect Identification Sina Akbari, Jalal Etesami, Negar Kiyavash

ICML 2025 Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization Suryanarayana Sankagiri, Jalal Etesami, Matthias Grossglauser

CLeaR 2024 Confounded Budgeted Causal Bandits Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

NeurIPS 2024 Fast Proxy Experiment Design for Causal Effect Identification Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran

NeurIPS 2023 Causal Effect Identification in Uncertain Causal Networks Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew Vowels, Jalal Etesami, Negar Kiyavash

AAAI 2023 Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash

UAI 2023 On Identifiability of Conditional Causal Effects Yaroslav Kivva, Jalal Etesami, Negar Kiyavash

AISTATS 2022 Causal Effect Identification with Context-Specific Independence Relations of Control Variables Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

AAAI 2022 Learning Bayesian Networks in the Presence of Structural Side Information Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

ICML 2022 Minimum Cost Intervention Design for Causal Effect Identification Sina Akbari, Jalal Etesami, Negar Kiyavash

UAI 2022 Revisiting the General Identifiability Problem Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash

NeurIPS 2022 Sharp Analysis of Stochastic Optimization Under Global Kurdyka-Lojasiewicz Inequality Ilyas Fatkhullin, Jalal Etesami, Niao He, Negar Kiyavash

AISTATS 2021 A Variational Inference Approach to Learning Multivariate Wold Processes Jalal Etesami, William Trouleau, Negar Kiyavash, Matthias Grossglauser, Patrick Thiran

ICML 2021 Cumulants of Hawkes Processes Are Robust to Observation Noise William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran

AAAI 2020 Causal Transfer for Imitation Learning and Decision Making Under Sensor-Shift Jalal Etesami, Philipp Geiger

ICML 2019 Learning Hawkes Processes Under Synchronization Noise William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran

AAAI 2018 Learning Vector Autoregressive Models with Latent Processes Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang

NeurIPS 2017 Online Learning for Multivariate Hawkes Processes Yingxiang Yang, Jalal Etesami, Niao He, Negar Kiyavash

UAI 2016 Learning Network of Multivariate Hawkes Processes: A Time Series Approach Jalal Etesami, Negar Kiyavash, Kun Zhang, Kushagra Singhal