Transfer Learning in Multi-Armed Bandit: A Causal Approach. - Junzhe Zhang 001; Elias Bareinboim (AAMAS, 2017)

Transfer Learning in Multi-Armed Bandits: A Causal Approach. - Junzhe Zhang 001; Elias Bareinboim (IJCAI, 2017)

Fairness in Decision-Making - The Causal Explanation Formula. - Junzhe Zhang 001; Elias Bareinboim (AAAI, 2018)

Characterizing the Limits of Autonomous Systems. - Junzhe Zhang 001; Elias Bareinboim (AAMAS, 2018)

Equality of Opportunity in Classification: A Causal Approach. - Junzhe Zhang 001; Elias Bareinboim (NeurIPS, 2018)

Non-Parametric Path Analysis in Structural Causal Models. - Junzhe Zhang 001; Elias Bareinboim (UAI, 2018)

Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes. - Junzhe Zhang 001; Elias Bareinboim (NeurIPS, 2019)

Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach. - Junzhe Zhang 001 (ICML, 2020)

Causal Imitation Learning With Unobserved Confounders. - Junzhe Zhang 001; Daniel Kumor; Elias Bareinboim (NeurIPS, 2020)

Bounding Causal Effects on Continuous Outcome. - Junzhe Zhang 001; Elias Bareinboim (AAAI, 2021)

Sequential Causal Imitation Learning with Unobserved Confounders. - Daniel Kumor; Junzhe Zhang 001; Elias Bareinboim (NeurIPS, 2021)

Can Humans Be out of the Loop? - Junzhe Zhang 001; Elias Bareinboim (CLeaR, 2022)

Partial Counterfactual Identification from Observational and Experimental Data. - Junzhe Zhang 001; Jin Tian 001; Elias Bareinboim (ICML, 2022)

Online Reinforcement Learning for Mixed Policy Scopes. - Junzhe Zhang 001; Elias Bareinboim (NeurIPS, 2022)

Causal Imitation Learning via Inverse Reinforcement Learning. - Kangrui Ruan; Junzhe Zhang 001; Xuan Di; Elias Bareinboim (ICLR, 2023)

Scores for Learning Discrete Causal Graphs with Unobserved Confounders. - Alexis Bellot; Junzhe Zhang 001; Elias Bareinboim (AAAI, 2024)

Towards Safe Policy Learning under Partial Identifiability: A Causal Approach. - Shalmali Joshi; Junzhe Zhang 001; Elias Bareinboim (AAAI, 2024)

Causally Aligned Curriculum Learning. - Mingxuan Li 001; Junzhe Zhang 001; Elias Bareinboim (ICLR, 2024)

Causal Imitation for Markov Decision Processes: a Partial Identification Approach. - Kangrui Ruan; Junzhe Zhang 001; Xuan Di; Elias Bareinboim (NeurIPS, 2024)

Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation. - Junzhe Zhang 001; Elias Bareinboim (UAI, 2025)