Kedar Karhadkar

According to our database, Kedar Karhadkar authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Harmful Overfitting in Sobolev Spaces.

Kedar Karhadkar, Alexander Sietsema, Deanna Needell, Guido Montúfar

CoRR, February, 2026

2025

Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts.

James Chapman, Kedar Karhadkar, Guido F. Montúfar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape.

Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montúfar

Trans. Mach. Learn. Res., 2024

Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension.

Kedar Karhadkar, Michael Murray, Guido F. Montúfar

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Benign overfitting in leaky ReLU networks with moderate input dimension.

Kedar Karhadkar, Erin George, Michael Murray, Guido F. Montúfar, Deanna Needell

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Sum index and difference index of graphs.

Joshua Harrington, Eugene Henninger-Voss, Kedar Karhadkar, Emily Robinson, Tony W. H. Wong

Discret. Appl. Math., 2023

FoSR: First-order spectral rewiring for addressing oversquashing in GNNs.

Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montúfar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Oversquashing in GNNs through the lens of information contraction and graph expansion.

Pradeep Kr. Banerjee, Kedar Karhadkar, Yuguang Wang, Uri Alon, Guido Montúfar

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Two dependent probabilistic chip-collecting games.

Joshua Harrington, Kedar Karhadkar, Madeline Kohutka, Tessa Stevens, Tony W. H. Wong

Discret. Appl. Math., 2021