Jalal Etesami

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 43

Top Topics

Causal Relationships

Independence Relations

Graphical Models

Top Venues

Publications

Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran
Fast Proxy Experiment Design for Causal Effect Identification. CoRR (2024)
Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Confounded Budgeted Causal Bandits. CLeaR (2024)
Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Confounded Budgeted Causal Bandits. CoRR (2024)
Marc-Aurèle Divernois, Jalal Etesami, Damir Filipovic, Negar Kiyavash
Analysis of Large Market Data Using Neural Networks: A Causal Approach. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Yaroslav Kivva, Jalal Etesami, Negar Kiyavash
On Identifiability of Conditional Causal Effects. CoRR (2023)
Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. AAAI (2023)
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
Causal Effect Identification in Uncertain Causal Networks. NeurIPS (2023)
Mikhail Konobeev, Jalal Etesami, Negar Kiyavash
Causal Bandits without Graph Learning. CoRR (2023)
Jalal Etesami, Ali Habibnia, Negar Kiyavash
Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework. CoRR (2023)
Yaroslav Kivva, Jalal Etesami, Negar Kiyavash
On Identifiability of Conditional Causal Effects. UAI (2023)
Sina Akbari, Jalal Etesami, Negar Kiyavash
Minimum Cost Intervention Design for Causal Effect Identification. ICML (2022)
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. CoRR (2022)
Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash
Revisiting the general identifiability problem. UAI (2022)
Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash
Revisiting the General Identifiability Problem. CoRR (2022)
Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Causal Effect Identification with Context-specific Independence Relations of Control Variables. AISTATS (2022)
Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Learning Bayesian Networks in the Presence of Structural Side Information. AAAI (2022)
Sina Akbari, Jalal Etesami, Negar Kiyavash
Minimum Cost Intervention Design for Causal Effect Identification. CoRR (2022)
Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. CoRR (2022)
Matthew J. Vowels, Sina Akbari, Jalal Etesami, Necati Cihan Camgöz, Richard Bowden
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics. CoRR (2022)
Ilyas Fatkhullin, Jalal Etesami, Niao He, Negar Kiyavash
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality. NeurIPS (2022)
Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Learning Bayesian Networks in the Presence of Structural Side Information. CoRR (2021)
Jalal Etesami, William Trouleau, Negar Kiyavash, Matthias Grossglauser, Patrick Thiran
A Variational Inference Approach to Learning Multivariate Wold Processes. AISTATS (2021)
William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran
Cumulants of Hawkes Processes are Robust to Observation Noise. ICML (2021)
Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Causal Effect Identification with Context-specific Independence Relations of Control Variables. CoRR (2021)
Jalal Etesami, Philipp Geiger
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift. CoRR (2020)
Jalal Etesami, Philipp Geiger
Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift. AAAI (2020)
Jalal Etesami, Christoph-Nikolas Straehle
Non-cooperative Multi-agent Systems with Exploring Agents. CoRR (2020)
Huang Xiao, Michael Herman, Jörg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh
Wasserstein Adversarial Imitation Learning. CoRR (2019)
William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran
Learning Hawkes Processes Under Synchronization Noise. ICML (2019)
Anh Truong, S. Rasoul Etesami, Jalal Etesami, Negar Kiyavash
Optimal Attack Strategies Against Predictors - Learning From Expert Advice. IEEE Trans. Inf. Forensics Secur. 13 (1) (2018)
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang
Learning Vector Autoregressive Models With Latent Processes. AAAI (2018)
Yingxiang Yang, Jalal Etesami, Niao He, Negar Kiyavash
Online Learning for Multivariate Hawkes Processes. NIPS (2017)
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables. CoRR (2017)
Jalal Etesami, Negar Kiyavash
Measuring Causal Relationships in Dynamical Systems through Recovery of Functional Dependencies. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
Identifying nonlinear 1-step causal influences in presence of latent variables. ISIT (2017)
Jalal Etesami, Kun Zhang, Negar Kiyavash
A New Measure of Conditional Dependence for Causal Structural Learning. CoRR (2017)
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
Learning Latent Networks in Vector Auto Regressive Models. CoRR (2017)
Yingxang Yang, Jalal Etesami, Negar Kiyavash
Efficient neighborhood selection for walk summable Gaussian graphical models. ACSSC (2017)
Jalal Etesami, Negar Kiyavash, Todd P. Coleman
Learning Minimal Latent Directed Information Polytrees. Neural Comput. 28 (9) (2016)
Jalal Etesami, Negar Kiyavash
Interventional dependency graphs: An approach for discovering influence structure. ISIT (2016)
Jalal Etesami, Negar Kiyavash
On the Vulnerability of Digital Fingerprinting Systems to Finite Alphabet Collusion Attacks. CoRR (2016)
Jalal Etesami, Negar Kiyavash, Kun Zhang, Kushagra Singhal
Learning Network of Multivariate Hawkes Processes: A Time Series Approach. UAI (2016)
Jalal Etesami, Negar Kiyavash, Kun Zhang, Kushagra Singhal
Learning Network of Multivariate Hawkes Processes: A Time Series Approach. CoRR (2016)
Yingxiang Yang, Jalal Etesami, Negar Kiyavash
Efficient Neighborhood Selection for Gaussian Graphical Models. CoRR (2015)
Jalal Etesami, Negar Kiyavash
A novel collusion attack on finite alphabet digital fingerprinting systems. ISIT (2014)
Jalal Etesami, Negar Kiyavash
Directed Information Graphs: A generalization of Linear Dynamical Graphs. ACC (2014)
Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman
Robust directed tree approximations for networks of stochastic processes. ISIT (2013)
Jalal Etesami, Negar Kiyavash, Todd P. Coleman
Learning minimal latent directed information trees. ISIT (2012)
Jalal Etesami, Werner Henkel
LDPC code construction for wireless physical-layer key reconciliation. ICCC (2012)
Jalal Etesami, Fangning Hu, Werner Henkel
LCD Codes and Iterative Decoding by Projections, a First Step Towards an Intuitive Description of Iterative Decoding. GLOBECOM (2011)
Jafar Mohammadi, Slawomir Stanczak, Renato L. G. Cavalcante, Jalal Etesami
Iterative distributed channel probing for cognitive radios with power-controlled wireless links. ISWCS (2011)