Publications | Aashay Mehta

Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan T. Ash, Cyril Zhang, Andrej Risteski (2025). On the Query Complexity of Verifier-Assisted Language Generation. ICML.

Yuchen Li, Alexander Kirchmeyer, Aashay Mehta, Yilong Qin, Boris Dadachev, Kishore Papineni, Sanjiv Kumar, Andrej Risteski (2024). Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines. ICML.

Vikram Duvvur, Aashay Mehta, Edward Sun, Bo Wu, Ken Yew Chan, Jeff Schneider (2023). Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading. Journal of Technical Analysis.

Aashay Mehta, Yash Raj Jain, Anirudha Kemtur, Jugoslav Stojcheski, Saksham Consul, Mateo Tošić, Falk Lieder (2022). Leveraging machine learning to automatically derive robust decision strategies from imperfect models of the real world. Computational Brain & Behavior.

Anirudha Kemtur, Yash Raj Jain, Aashay Mehta, Frederick Callaway, Saksham Consul, Jugoslav Stojcheski, Falk Lieder (2020). Leveraging Machine Learning to Automatically Derive Robust Planning Strategies from Biased Models of the Environment. CogSci 2020.