Interactive Recommendations for Optimal Allocations in Markets with Constraints. - Yigit Efe Erginbas; Soham R. Phade; Kannan Ramchandran (CoRR, 2022)

Interactive Learning with Pricing for Optimal and Stable Allocations in Markets. - Yigit Efe Erginbas; Soham Phade; Kannan Ramchandran (AISTATS, 2023)

Efficiently Computing Sparse Fourier Transforms of q-ary Functions. - Yigit Efe Erginbas; Justin Singh Kang; Amirali Aghazadeh; Kannan Ramchandran (ISIT, 2023)

Online Pricing for Multi-User Multi-Item Markets. - Yigit Efe Erginbas; Thomas A. Courtade; Kannan Ramchandran; Soham Phade (NeurIPS, 2023)

Learning to Understand: Identifying Interactions via the Möbius Transform. - Justin Singh Kang; Yigit Efe Erginbas; Landon Butler; Ramtin Pedarsani; Kannan Ramchandran (NeurIPS, 2024)

Online Assortment and Price Optimization Under Contextual Choice Models. - Yigit Efe Erginbas; Thomas A. Courtade; Kannan Ramchandran (AISTATS, 2025)

SPEX: Scaling Feature Interaction Explanations for LLMs. - Justin Singh Kang; Landon Butler; Abhineet Agarwal; Yigit Efe Erginbas; Ramtin Pedarsani; Kannan Ramchandran; Bin Yu 001 (CoRR, 2025)

ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs. - Landon Butler; Abhineet Agarwal; Justin Singh Kang; Yigit Efe Erginbas; Bin Yu 001; Kannan Ramchandran (CoRR, 2025)