Vaishnavh Nagarajan
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Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
Advances in Neural Information Processing Systems, 5585-5595, 2017
Uniform convergence may be unable to explain generalization in deep learning
V Nagarajan, JZ Kolter
Advances in Neural Information Processing Systems, 2019
Understanding the Failure Modes of Out-of-Distribution Generalization
V Nagarajan, A Andreassen, B Neyshabur
International Conference on Learning Representations (ICLR) 2021, 2020
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
V Nagarajan, Z Kolter
International Conference on Learning Representations, 2019, 2018
Assessing Generalization via Disagreement
Y Jiang, V Nagarajan, C Baek, JZ Kolter
International Conference on Learning Representations, 2022, 2021
Generalization in deep networks: The role of distance from initialization
V Nagarajan, JZ Kolter
arXiv preprint arXiv:1901.01672, 2019
Learning-theoretic foundations of algorithm configuration for combinatorial partitioning problems
MF Balcan, V Nagarajan, E Vitercik, C White
Conference on Learning Theory, 213-274, 2016
Geriatrix: Aging what you see and what you don’t see. A file system aging approach for modern storage systems
S Kadekodi, V Nagarajan, GR Ganger, GA Gibson
Proceedings of the 2018 USENIX Conference on Usenix Annual Technical …, 2018
Theoretical Insights into Memorization in GANs
V Nagarajan, C Raffel, IJ Goodfellow
Integration of Deep Learning Theories Workshop, 32nd Conference on Neural …, 2018
Revisiting Adversarial Risk
AS Suggala, A Prasad, V Nagarajan, P Ravikumar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Incorporating side information in tensor completion
H Lamba, V Nagarajan, K Shin, N Shajarisales
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
A Learning Theoretic Perspective on Local Explainability
J Li, V Nagarajan, G Plumb, A Talwalkar
International Conference on Learning Representations (ICLR) 2021, 2020
Every team deserves a second chance: Identifying when things go wrong
V Nagarajan, L Soriano Marcolino, M Tambe
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
Think before you speak: Training language models with pause tokens
S Goyal, Z Ji, AS Rawat, AK Menon, S Kumar, V Nagarajan
arXiv preprint arXiv:2310.02226, 2023
Provably Safe PAC-MDP Exploration Using Analogies
M Roderick, V Nagarajan, JZ Kolter
Proceedings of the 24th International Conference on Artificial Intelligence …, 2020
Explaining generalization in deep learning: progress and fundamental limits
V Nagarajan
arXiv preprint arXiv:2110.08922, 2021
A Reinforcement learning approach to online learning of decision trees
A Garlapati, A Raghunathan, V Nagarajan, B Ravindran
arXiv preprint arXiv:1507.06923, 2015
The pitfalls of next-token prediction
G Bachmann, V Nagarajan
arXiv preprint arXiv:2403.06963, 2024
ResMem: Learn what you can and memorize the rest
Z Yang, M Lukasik, V Nagarajan, Z Li, AS Rawat, M Zaheer, AK Menon, ...
arXiv preprint arXiv:2302.01576, 2023
Avoiding Spurious Correlations: Bridging Theory and Practice
T Nguyen, V Nagarajan, H Sedghi, B Neyshabur
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
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