| 2025 | WWW | Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights. | Ameet Gadekar, Aristides Gionis, Suhas Thejaswi |
| 2025 | STACS | Dimension-Free Parameterized Approximation Schemes for Hybrid Clustering. | Ameet Gadekar, Tanmay Inamdar |
| 2024 | ICALP | Parameterized Approximation For Robust Clustering in Discrete Geometric Spaces. | Fateme Abbasi, Sandip Banerjee, Jaroslaw Byrka, Parinya Chalermsook, Ameet Gadekar, Kamyar Khodamoradi, Dniel Marx, Roohani Sharma, Joachim Spoerhase |
| 2023 | FOCS | Parameterized Approximation Schemes for Clustering with General Norm Objectives. | Fateme Abbasi, Sandip Banerjee, Jaroslaw Byrka, Parinya Chalermsook, Ameet Gadekar, Kamyar Khodamoradi, Dniel Marx, Roohani Sharma, Joachim Spoerhase |
| 2023 | WALCOM | On the Parameterized Complexity of Compact Set Packing. | Ameet Gadekar |
| 2023 | WAOA | 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 |
| 2022 | KDD | Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics. | Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Michal Osadnik |
| 2018 | COCOON | Improved Learning of k-Parities. | Arnab Bhattacharyya, Ameet Gadekar, Ninad Rajgopal |
| 2016 | ESA | On the Hardness of Learning Sparse Parities. | Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, Rishi Saket |