| 2026 | AAAI | Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics. | Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar |
| 2025 | ICML | Hierarchical Reinforcement Learning with Targeted Causal Interventions. | Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser |
| 2025 | ICML | MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters. | Arsalan Sharifnassab, Saber Salehkaleybar, Richard S. Sutton |
| 2025 | ICML | Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants. | Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash, Mathias Drton |
| 2025 | UAI | Efficiently Escaping Saddle Points for Policy Optimization. | Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser |
| 2025 | UAI | Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. | Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash |
| 2024 | AISTATS | Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. | Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash |
| 2024 | ICML | Causal Effect Identification in LiNGAM Models with Latent Confounders. | Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash |
| 2020 | ICLR | Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks. | Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani |
| 2020 | ICML | LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. | Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash |
| 2019 | AAAI | Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. | AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang |
| 2018 | AAAI | Learning Vector Autoregressive Models With Latent Processes. | Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang |
| 2018 | ICML | Budgeted Experiment Design for Causal Structure Learning. | AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim |
| 2017 | ISIT | Identifying nonlinear 1-step causal influences in presence of latent variables. | Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash |
| 2013 | ISIT | Averaging consensus over erasure channels via local synchronization. | Saber Salehkaleybar, S. Jamaloddin Golestani |
| 2011 | IWCMC | QoS-aware joint policies in cognitive radio networks. | Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan |