Muhammad Qasim Elahi

12 papers A* 4Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Characterization and Learning of Causal Graphs from Hard Interventions.
CoRR
Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
2025 J jnl
Identification of Average Outcome under Interventions in Confounded Additive Noise Models.
Trans. Mach. Learn. Res.
Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
2025 J jnl
Nested FOPI and PI Controller Performance Comparison for Electric Vehicle Traction System.
IEEE Access
Faris AtaAllah, Mazen Elsaadany, Muhammad Qasim Elahi, Shayok Mukhopadhyay, Habib-ur Rehman
2025 — conf
Reinforcement Learning from Multi-level and Episodic Human Feedback.
L4DC
Muhammad Qasim Elahi, Somtochukwu Oguchienti, Maheed H. Ahmed, Mahsa Ghasemi
2025 J jnl
Reinforcement Learning from Multi-level and Episodic Human Feedback.
CoRR
Muhammad Qasim Elahi, Somtochukwu Oguchienti, Maheed H. Ahmed, Mahsa Ghasemi
2024 A* conf
Adaptive Online Experimental Design for Causal Discovery.
ICML
Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi
2024 J jnl
Adaptive Online Experimental Design for Causal Discovery.
CoRR
Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi
2024 A* conf
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits.
NeurIPS
Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
2024 J jnl
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits.
CoRR
Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
2024 A* conf
Sample Efficient Bayesian Learning of Causal Graphs from Interventions.
NeurIPS
Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
2024 J jnl
Sample Efficient Bayesian Learning of Causal Graphs from Interventions.
CoRR
Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
2023 A* conf
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders.
NeurIPS
Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu