Learning to Switch Between Machines and Humans. - Vahid Balazadeh Meresht; Abir De; Adish Singla; Manuel Gomez-Rodriguez (CoRR, 2020)

Reinforcement Learning Under Algorithmic Triage. - Eleni Straitouri; Adish Singla; Vahid Balazadeh Meresht; Manuel Gomez-Rodriguez (CoRR, 2021)

Partial Identification of Treatment Effects with Implicit Generative Models. - Vahid Balazadeh Meresht; Vasilis Syrgkanis; Rahul G. Krishnan (NeurIPS, 2022)

Learning to Switch Among Agents in a Team. - Vahid Balazadeh Meresht; Abir De; Adish Singla; Manuel Gomez Rodriguez (Trans. Mach. Learn. Res., 2022)

OCDaf: Ordered Causal Discovery with Autoregressive Flows. - Hamidreza Kamkari; Vahid Zehtab; Vahid Balazadeh Meresht; Rahul G. Krishnan (CoRR, 2023)

Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity. - Vahid Balazadeh Meresht; Keertana Chidambaram; Viet Nguyen; Rahul G. Krishnan; Vasilis Syrgkanis (NeurIPS, 2024)

Personalized Adaptation via In-Context Preference Learning. - Allison Lau; Younwoo Choi; Vahid Balazadeh Meresht; Keertana Chidambaram; Vasilis Syrgkanis; Rahul G. Krishnan (CoRR, 2024)

Synthetic Vision: Training Vision-Language Models to Understand Physics. - Vahid Balazadeh Meresht; Mohammadmehdi Ataei; Hyunmin Cheong; Amir Hosein Khasahmadi; Rahul G. Krishnan (CoRR, 2024)

Red Teaming Large Language Models for Healthcare. - Vahid Balazadeh Meresht; Michael Cooper; David Pellow; Atousa Assadi; Jennifer Bell; Jim Fackler; Gabriel Funingana; Spencer Gable-Cook; Anirudh Gangadhar; Abhishek Jaiswal; Sumanth Kaja; Christopher Khoury; et al. (CoRR, 2025)

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning. - Vahid Balazadeh Meresht; Hamidreza Kamkari; Valentin Thomas; Benson Li; Junwei Ma; Jesse C. Cresswell; Rahul G. Krishnan (CoRR, 2025)