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Adhyyan Narang
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Journal Articles
- 2023
- [j2]Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. J. Mach. Learn. Res. 24: 202:1-202:56 (2023) - 2021
- [j1]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: 222:1-222:69 (2021)
Conference and Workshop Papers
- 2022
- [c3]Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Learning in Stochastic Monotone Games with Decision-Dependent Data. AISTATS 2022: 5891-5912 - 2021
- [c2]Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel:
Towards Sample-efficient Overparameterized Meta-learning. NeurIPS 2021: 28156-28168 - [c1]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: 29049-29063
Informal and Other Publications
- 2024
- [i6]Adhyyan Narang, Andrew Wagenmaker, Lillian J. Ratliff, Kevin G. Jamieson:
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning. CoRR abs/2406.06856 (2024) - 2022
- [i5]Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. CoRR abs/2201.03398 (2022) - [i4]Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel:
Towards Sample-efficient Overparameterized Meta-learning. CoRR abs/2201.06142 (2022) - [i3]Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes:
Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity. CoRR abs/2207.03091 (2022) - 2021
- [i2]Adhyyan Narang, Vidya Muthukumar, Anant Sahai:
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective. CoRR abs/2109.13215 (2021) - 2020
- [i1]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 abs/2005.08054 (2020)
Coauthor Index
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