Shivam Garg

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 9

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Publications

Shivam Garg, Chirag Pabbaraju, Kirankumar Shiragur, Gregory Valiant
Testing with Non-identically Distributed Samples. CoRR (2023)
Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes. CoRR (2022)
Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes. NeurIPS (2022)
Brian Axelrod, Shivam Garg, Yanjun Han, Vatsal Sharan, Gregory Valiant
On the Statistical Complexity of Sample Amplification. CoRR (2022)
Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant
Sample Amplification: Increasing Dataset Size even when Learning is Impossible. ICML (2020)
Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant
Sample Amplification: Increasing Dataset Size even when Learning is Impossible. CoRR (2019)
Shivam Garg, Vatsal Sharan, Brian Hu Zhang, Gregory Valiant
A Spectral View of Adversarially Robust Features. CoRR (2018)
Shivam Garg, Vatsal Sharan, Brian Hu Zhang, Gregory Valiant
A Spectral View of Adversarially Robust Features. NeurIPS (2018)
Shivam Garg, Geevarghese Philip
Raising The Bar For Vertex Cover: Fixed-parameter Tractability Above A Higher Guarantee. SODA (2016)
Shivam Garg, Geevarghese Philip
Raising The Bar For Vertex Cover: Fixed-parameter Tractability Above A Higher Guarantee. CoRR (2015)