Junzhe Zhang - RankMe

25 papers A* 16A 4Journal 4Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Automatic Reward Shaping from Confounded Offline Data. ICML Mingxuan Li, Junzhe Zhang, Elias Bareinboim
2025	A	`conf`	Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation. UAI Junzhe Zhang, Elias Bareinboim
2025	J	`jnl`	Causally Aligned Curriculum Learning. CoRR Mingxuan Li, Junzhe Zhang, Elias Bareinboim
2024	A*	`conf`	Causal Imitation for Markov Decision Processes: a Partial Identification Approach. NeurIPS Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
2024	A*	`conf`	Causally Aligned Curriculum Learning. ICLR Mingxuan Li, Junzhe Zhang, Elias Bareinboim
2024	A*	`conf`	Scores for Learning Discrete Causal Graphs with Unobserved Confounders. AAAI Alexis Bellot, Junzhe Zhang, Elias Bareinboim
2024	A*	`conf`	Towards Safe Policy Learning under Partial Identifiability: A Causal Approach. AAAI Shalmali Joshi, Junzhe Zhang, Elias Bareinboim
2023	A*	`conf`	Causal Imitation Learning via Inverse Reinforcement Learning. ICLR Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
2022	—	`conf`	Can Humans Be out of the Loop? CLeaR Junzhe Zhang, Elias Bareinboim
2022	J	`jnl`	Causal Imitation Learning with Unobserved Confounders. CoRR Junzhe Zhang, Daniel Kumor, Elias Bareinboim
2022	A*	`conf`	Online Reinforcement Learning for Mixed Policy Scopes. NeurIPS Junzhe Zhang, Elias Bareinboim
2022	A*	`conf`	Partial Counterfactual Identification from Observational and Experimental Data. ICML Junzhe Zhang, Jin Tian, Elias Bareinboim
2022	J	`jnl`	Sequential Causal Imitation Learning with Unobserved Confounders. CoRR Daniel Kumor, Junzhe Zhang, Elias Bareinboim
2021	A*	`conf`	Bounding Causal Effects on Continuous Outcome. AAAI Junzhe Zhang, Elias Bareinboim
2021	J	`jnl`	Partial Counterfactual Identification from Observational and Experimental Data. CoRR Junzhe Zhang, Jin Tian, Elias Bareinboim
2021	A*	`conf`	Sequential Causal Imitation Learning with Unobserved Confounders. NeurIPS Daniel Kumor, Junzhe Zhang, Elias Bareinboim
2020	A*	`conf`	Causal Imitation Learning With Unobserved Confounders. NeurIPS Junzhe Zhang, Daniel Kumor, Elias Bareinboim
2020	A*	`conf`	Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach. ICML Junzhe Zhang
2019	A*	`conf`	Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes. NeurIPS Junzhe Zhang, Elias Bareinboim
2018	A	`conf`	Characterizing the Limits of Autonomous Systems. AAMAS Junzhe Zhang, Elias Bareinboim
2018	A*	`conf`	Equality of Opportunity in Classification: A Causal Approach. NeurIPS Junzhe Zhang, Elias Bareinboim
2018	A*	`conf`	Fairness in Decision-Making - The Causal Explanation Formula. AAAI Junzhe Zhang, Elias Bareinboim
2018	A	`conf`	Non-Parametric Path Analysis in Structural Causal Models. UAI Junzhe Zhang, Elias Bareinboim
2017	A	`conf`	Transfer Learning in Multi-Armed Bandit: A Causal Approach. AAMAS Junzhe Zhang, Elias Bareinboim
2017	A*	`conf`	Transfer Learning in Multi-Armed Bandits: A Causal Approach. IJCAI Junzhe Zhang, Elias Bareinboim