Suvrit Sra

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Xiang Cheng

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Publications

2024
[c108]
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  - conf/iclr/AhnCSYJS24
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Kwangjun Ahn, Xiang Cheng, Minhak Song, Chulhee Yun, Ali Jadbabaie, Suvrit Sra:
Linear attention is (maybe) all you need (to understand Transformer optimization). ICLR 2024
[c106]
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  - conf/icml/ChengCS24
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Xiang Cheng, Yuxin Chen, Suvrit Sra:
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context. ICML 2024
[i81]
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  - journals/corr/abs-2402-10357
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Xiang Cheng, Jingzhao Zhang, Suvrit Sra:
Efficient Sampling on Riemannian Manifolds via Langevin MCMC. CoRR abs/2402.10357 (2024)
[i80]
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  - journals/corr/abs-2405-15816
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Sanchayan Dutta, Xiang Cheng, Suvrit Sra:
Riemannian Bilevel Optimization. CoRR abs/2405.15816 (2024)
2023
[c99]
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  - conf/nips/AhnCDS23
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Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand, Suvrit Sra:
Transformers learn to implement preconditioned gradient descent for in-context learning. NeurIPS 2023
[i75]
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  - journals/corr/abs-2306-00297
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Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand, Suvrit Sra:
Transformers learn to implement preconditioned gradient descent for in-context learning. CoRR abs/2306.00297 (2023)
[i73]
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  - journals/corr/abs-2310-01082
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Kwangjun Ahn, Xiang Cheng, Minhak Song, Chulhee Yun, Ali Jadbabaie, Suvrit Sra:
Linear attention is (maybe) all you need (to understand transformer optimization). CoRR abs/2310.01082 (2023)
[i72]
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  - journals/corr/abs-2312-06528
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Xiang Cheng, Yuxin Chen, Suvrit Sra:
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context. CoRR abs/2312.06528 (2023)
2022
[c91]
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  - conf/nips/ChengZS22
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Xiang Cheng, Jingzhao Zhang, Suvrit Sra:
Efficient Sampling on Riemannian Manifolds via Langevin MCMC. NeurIPS 2022

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