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cs.LG2026
Evaluation of Active Feature Acquisition Policies with Tabular Foundation Models
Yuta Kobayashi, Divyam Madaan, Shalmali Joshi
Active feature acquisition learns policies that sequentially acquire features to maximize information about a target variable. We study how to learn and evaluate such policies from…
cs.CV2026
Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
Divyam Madaan, Sumit Chopra, Kyunghyun Cho
Despite the recent success of Multimodal Large Language Models (MLLMs), existing approaches predominantly assume the availability of multiple modalities during training and inferen…