Adhyyan Narang

According to our database, Adhyyan Narang authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning.

Adhyyan Narang, Andrew Wagenmaker, Lillian J. Ratliff, Kevin G. Jamieson

CoRR, 2024

2023

Multiplayer Performative Prediction: Learning in Decision-Dependent Games.

Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff

J. Mach. Learn. Res., 2023

2022

Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity.

Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes

CoRR, 2022

Learning in Stochastic Monotone Games with Decision-Dependent Data.

Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Classification vs regression in overparameterized regimes: Does the loss function matter?

Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel Hsu, Anant Sahai

J. Mach. Learn. Res., 2021

Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective.

Adhyyan Narang, Vidya Muthukumar, Anant Sahai

CoRR, 2021

Towards Sample-efficient Overparameterized Meta-learning.

Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games.

Tanner Fiez, Lillian J. Ratliff, Eric Mazumdar, Evan Faulkner, Adhyyan Narang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021