Vaishnavh Nagarajan
According to our database1,
Vaishnavh Nagarajan
authored at least 30 papers
between 2015 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
CoRR, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Geriatrix: Aging what you see and what you don't see. A file system aging approach for modern storage systems.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018
2017
Every team deserves a second chance: an extended study on predicting team performance.
Auton. Agents Multi Agent Syst., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems.
Proceedings of the 30th Conference on Learning Theory, 2017
2016
Learning the best algorithm for max-cut, clustering, and other partitioning problems.
CoRR, 2016
Proceedings of the 25th International Conference on World Wide Web, 2016
2015
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration).
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
Proceedings of the Learning for General Competency in Video Games, 2015
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version).
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015