Vaishnavh Nagarajan
Title
Cited by
Cited by
Year
Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
Advances in Neural Information Processing Systems, 5585-5595, 2017
2562017
Uniform convergence may be unable to explain generalization in deep learning
V Nagarajan, JZ Kolter
arXiv preprint arXiv:1902.04742, 2019
992019
Generalization in deep networks: The role of distance from initialization
V Nagarajan, JZ Kolter
arXiv preprint arXiv:1901.01672, 2019
462019
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
V Nagarajan, Z Kolter
422018
Learning-theoretic foundations of algorithm configuration for combinatorial partitioning problems
MF Balcan, V Nagarajan, E Vitercik, C White
arXiv preprint arXiv:1611.04535, 2016
382016
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
192018
Understanding the Failure Modes of Out-of-Distribution Generalization
V Nagarajan, A Andreassen, B Neyshabur
arXiv preprint arXiv:2010.15775, 2020
152020
Revisiting Adversarial Risk
AS Suggala, A Prasad, V Nagarajan, P Ravikumar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
132019
Theoretical Insights into Memorization in GANs
V Nagarajan, C Raffel, IJ Goodfellow
11*
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
102016
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
92015
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version).
V Nagarajan, LS Marcolino, M Tambe
AAAI, 4184-4185, 2015
82015
A Reinforcement learning approach to online learning of decision trees
A Garlapati, A Raghunathan, V Nagarajan, B Ravindran
arXiv preprint arXiv:1507.06923, 2015
52015
Provably Safe PAC-MDP Exploration Using Analogies
M Roderick, V Nagarajan, JZ Kolter
arXiv preprint arXiv:2007.03574, 2020
32020
A Learning Theoretic Perspective on Local Explainability
J Li, V Nagarajan, G Plumb, A Talwalkar
arxiv preprint arxiv:2011.01205, 2020
12020
Every team deserves a second chance: an extended study on predicting team performance
LS Marcolino, AS Lakshminarayanan, V Nagarajan, M Tambe
Autonomous Agents and Multi-Agent Systems 31 (5), 1003-1054, 2017
12017
Aging Gracefully with Geriatrix: A File System Aging Tool
S Kadekodi, V Nagarajan, GA Gibson
2017
Lifelong Learning in Costly Feature Spaces
MF Balcan, A Blum, V Nagarajan
arXiv preprint arXiv:1706.10271, 2017
2017
Every team deserves a second chance: An Interactive 9x9 Go Experience
V Nagarajan, L Soriano Marcolino, M Tambe
International Foundation for Autonomous Agents and Multiagent Systems, 2015
2015
KWIK Inverse Reinforcement Learning
V Nagarajan, B Ravindran
The system can't perform the operation now. Try again later.
Articles 1–20