Local Linearity and Double Descent in Catastrophic Overfitting. - Varun Sivashankar; Nikil Selvam (COMAD/CODS, 2022)

Composable Coresets for Determinant Maximization: Greedy is Almost Optimal. - Siddharth Gollapudi; Sepideh Mahabadi; Varun Sivashankar (NeurIPS, 2023)

Filtered-DiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with Filters. - Siddharth Gollapudi; Neel Karia; Varun Sivashankar; Ravishankar Krishnaswamy; Nikit Begwani; Swapnil Raz; Yiyong Lin 001; Yin Zhang; Neelam Mahapatro; Premkumar Srinivasan; Amit Singh 003; Harsha Vardhan Simhadri (WWW, 2023)

Extremal Uniquely Resolvable Multisets. - Varun Sivashankar (SIAM J. Discret. Math., 2023)

Improved Approximation Algorithms for the Joint Replenishment Problem with Outliers, and with Fairness Constraints. - Varun Suriyanarayana; Varun Sivashankar; Siddharth Gollapudi; David B. Shmoys (SODA, 2024)

Relinearization Attack On LPN Over Large Fields. - Paul Lou; Amit Sahai; Varun Sivashankar (Comput. J., 2024)

Tree independence number V. Walls and claws. - Maria Chudnovsky; Julien Codsi; Daniel Lokshtanov; Martin Milanic; Varun Sivashankar (CoRR, 2025)