Anish Hebbar, Debmalya Panigrahi. Learning-Augmented Facility Location with Samples (Preprint)
Anish Hebbar, Debmalya Panigrahi. Robust Algorithms for Stochastic Set Cover (Preprint)
Anish Hebbar, Ravi Kumar, Roie Levin, Seffi Naor, Debmalya Panigrahi. Online Algorithms with a Sample: Tight Bounds and Adversarial Robustness (SODA 2027)
Anish Hebbar, Rong Ge, Amit Kumar, Debmalya Panigrahi. Learning-Augmented Algorithms for k-median via Online Learning (NeurIPS 2025)
Anish Hebbar, Arindam Khan, KVN Sreenivas. Online Bin Packing under Random-Order: Breaking the Barrier of 3/2 (SODA 2024) [Arxiv]
Niranjan Balachandran, Anish Hebbar. Cyclability, Connectivity and Circumference (CALDAM 2023) [Arxiv]
Anish Hebbar, Ankush Moger, Kishore Hari, Mohit Kumar Jolly. Robustness in phenotypic plasticity and heterogeneity patterns enabled by EMT networks (Biophysical Journal, 2022)