Clustering Categorical Data: Soft Rounding k-modes. - Surya Teja Gavva; Karthik C. S. 001; Sharath Punna (CoRR, 2022)

Impossibility of Depth Reduction in Explainable Clustering. - Chengyuan Deng; Surya Teja Gavva; Karthik C. S. 001; Parth Patel; Adarsh Srinivasan (CoRR, 2023)

On Approximability of Steiner Tree in ℓp-metrics. - Henry L. Fleischmann; Surya Teja Gavva; Karthik C. S. 001 (SODA, 2024)

Clustering categorical data: Soft rounding k-modes. - Surya Teja Gavva; Karthik C. S. 001; Sharath Punna (Inf. Comput., 2024)

Fairness of linear regression in decision making. - Vincent Cohen-Addad; Surya Teja Gavva; Karthik C. S. 001; Claire Mathieu; Namrata (Int. J. Data Sci. Anal., 2024)

On Approximability of Steiner Tree in ℓp-metrics. - Henry L. Fleischmann; Surya Teja Gavva; Karthik C. S. 001 (TheoretiCS, 2025)

Efficient Algorithms for Partitioning Circulant Graphs with Optimal Spectral Approximation. - Surya Teja Gavva; Peng Zhang (CoRR, 2025)