3 citations · 7 across the 19 of their papers we have counts for
4 papers · 1 filter
Entropy Regularization: A Free Correction to Cross-Entropy for Verified Demonstrations
Mihir Dhanakshirur, Adam Ousherovitch, Ambuj Tewari
Large language models are often post-trained on expert demonstrations using cross-entropy (CE), even when the downstream objective is not to imitate the demonstrated solution but t…
A General-Purpose Molecular Foundation Model Transfers Across Diverse Olfactory Tasks
Yikun Han, Yi Wang, Neil Mankodi +2
Foundation models have transformed molecular property prediction, yet it remains unclear whether a molecular foundation model, fine-tuned on a single canonical olfactory prediction…
Distribution-Free Robust Predict-Then-Optimize in Function Spaces
Yash Patel, Ambuj Tewari
The need to rapidly solve PDEs in engineering design workflows has spurred the rise of neural surrogate models. In particular, neural operator models provide a discretization-invar…
Leveraging Offline Data in Linear Latent Contextual Bandits
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
Leveraging offline data is an attractive way to accelerate online sequential decision-making. However, it is crucial to account for latent states in users or environments in the of…