Adhyyan Narang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Global Convergence

Sample Complexity Bounds

Convex Minimization

Reinforcement Learning

Top Venues

J. Mach. Learn. Res.

Publications

Adhyyan Narang, Andrew Wagenmaker, Lillian J. Ratliff, Kevin G. Jamieson
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning. CoRR (2024)
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. J. Mach. Learn. Res. 24 (2023)
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
Learning in Stochastic Monotone Games with Decision-Dependent Data. AISTATS (2022)
Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
Towards Sample-efficient Overparameterized Meta-learning. CoRR (2022)
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. CoRR (2022)
Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity. CoRR (2022)
Adhyyan Narang, Vidya Muthukumar, Anant Sahai
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective. CoRR (2021)
Tanner Fiez, Lillian J. Ratliff, Eric Mazumdar, Evan Faulkner, Adhyyan Narang
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games. NeurIPS (2021)
Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
Towards Sample-efficient Overparameterized Meta-learning. NeurIPS (2021)
Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel Hsu, Anant Sahai
Classification vs regression in overparameterized regimes: Does the loss function matter? J. Mach. Learn. Res. 22 (2021)
Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel J. Hsu, Anant Sahai
Classification vs regression in overparameterized regimes: Does the loss function matter? CoRR (2020)