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Adhyyan Narang
Adhyyan Narang
PhD Student in ECE, University of Washington
Dirección de correo verificada de uw.edu - Página principal
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Classification vs regression in overparameterized regimes: Does the loss function matter?
V Muthukumar, A Narang, V Subramanian, M Belkin, D Hsu, A Sahai
Journal of Machine Learning Research 22 (222), 1-69, 2021
1862021
Multiplayer performative prediction: Learning in decision-dependent games
A Narang, E Faulkner, D Drusvyatskiy, M Fazel, LJ Ratliff
Journal of Machine Learning Research 24 (202), 1-56, 2023
462023
Global convergence to local minmax equilibrium in classes of nonconvex zero-sum games
T Fiez, L Ratliff, E Mazumdar, E Faulkner, A Narang
Advances in Neural Information Processing Systems 34, 29049-29063, 2021
352021
Towards sample-efficient overparameterized meta-learning
Y Sun, A Narang, I Gulluk, S Oymak, M Fazel
Advances in Neural Information Processing Systems 34, 28156-28168, 2021
252021
Learning in stochastic monotone games with decision-dependent data
A Narang, E Faulkner, D Drusvyatskiy, M Fazel, L Ratliff
International Conference on Artificial Intelligence and Statistics, 5891-5912, 2022
192022
On targeted manipulation and deception when optimizing LLMs for user feedback
M Williams, M Carroll, A Narang, C Weisser, B Murphy, A Dragan
arXiv preprint arXiv:2411.02306, 2024
62024
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective
A Narang, V Muthukumar, A Sahai
arXiv preprint arXiv:2109.13215, 2021
32021
Overparameterized classification problems: How many support vectors do I have, and do increasing margins always bode well for generalization
A Narang
MS thesis, Department of Electrical Engineering and Computer Sciences, UC …, 2020
32020
Efficient Interactive Maximization of BP and Weakly Submodular Objectives
A Narang, O Sadeghi, LJ Ratliff, M Fazel, J Bilmes
The 40th Conference on Uncertainty in Artificial Intelligence, 2024
2*2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
A Narang, A Wagenmaker, L Ratliff, K Jamieson
arXiv preprint arXiv:2406.06856, 2024
2024
Data Poisoning for Linear Models
A Narang, R Sinha, A Siththaranjan, F Yang
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Artículos 1–11