On learning k-parities with and without noise. - Arnab Bhattacharyya 001; Ameet Gadekar; Ninad Rajgopal (CoRR, 2015)

On the hardness of learning sparse parities. - Arnab Bhattacharyya 001; Ameet Gadekar; Suprovat Ghoshal; Rishi Saket (Electron. Colloquium Comput. Complex., 2015)

Improved Learning of k-Parities. - Arnab Bhattacharyya 001; Ameet Gadekar; Ninad Rajgopal (COCOON, 2018)

Improved learning of k-parities. - Arnab Bhattacharyya 001; Ameet Gadekar; Ninad Rajgopal (Theor. Comput. Sci., 2020)

Approximation algorithms for k-median with lower-bound constraints. - Ameet Gadekar; Bruno Ordozgoiti; Suhas Thejaswi (CoRR, 2021)

Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics. - Suhas Thejaswi; Ameet Gadekar; Bruno Ordozgoiti; Michal Osadnik (KDD, 2022)

Parameterized Approximation Schemes for Clustering with General Norm Objectives. - Fateme Abbasi; Sandip Banerjee; Jaroslaw Byrka; Parinya Chalermsook; Ameet Gadekar; Kamyar Khodamoradi; Dániel Marx; Roohani Sharma; Joachim Spoerhase (FOCS, 2023)

Independent Set in k-Claw-Free Graphs: Conditional χ-Boundedness and the Power of LP/SDP Relaxations. - Parinya Chalermsook; Ameet Gadekar; Kamyar Khodamoradi; Joachim Spoerhase (WAOA, 2023)

Parameterized Approximation Results for Clustering and Graph Packing Problems. - Ameet Gadekar (2023)

Parameterized Approximation For Robust Clustering in Discrete Geometric Spaces. - Fateme Abbasi; Sandip Banerjee; Jaroslaw Byrka; Parinya Chalermsook; Ameet Gadekar; Kamyar Khodamoradi; Dániel Marx; Roohani Sharma; Joachim Spoerhase (ICALP, 2024)

Diversity-aware clustering: Computational Complexity and Approximation Algorithms. - Suhas Thejaswi; Ameet Gadekar; Bruno Ordozgoiti; Aristides Gionis (CoRR, 2024)

FPT approximations for Capacitated Sum of Radii and Diameters. - Arnold Filtser; Ameet Gadekar (CoRR, 2024)

On the Parameterized Complexity of Compact Set Packing. - Ameet Gadekar (Algorithmica, 2024)

Dimension-Free Parameterized Approximation Schemes for Hybrid Clustering. - Ameet Gadekar; Tanmay Inamdar 002 (STACS, 2025)

Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights. - Ameet Gadekar; Aristides Gionis; Suhas Thejaswi (WWW, 2025)

Coreset Strikes Back: Improved Parameterized Approximation Schemes for (Constrained) k-Median/Means. - Sujoy Bhore; Ameet Gadekar; Tanmay Inamdar 002 (CoRR, 2025)

Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms. - Ameet Gadekar; Suhas Thejaswi (CoRR, 2025)