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Publication search results
found 81 matches
- 2024
- Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang:
Selective Pre-training for Private Fine-tuning. Trans. Mach. Learn. Res. 2024 (2024) - Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin:
Differentially Private Synthetic Data via Foundation Model APIs 1: Images. ICLR 2024 - Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim:
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. ICLR 2024 - Joshua Brakensiek
, Manik Dhar
, Sivakanth Gopi
:
Generalized GM-MDS: Polynomial Codes Are Higher Order MDS. STOC 2024: 728-739 - Joshua Brakensiek
, Manik Dhar
, Sivakanth Gopi
, Zihan Zhang
:
AG Codes Achieve List Decoding Capacity over Constant-Sized Fields. STOC 2024: 740-751 - Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin:
Differentially Private Synthetic Data via Foundation Model APIs 2: Text. CoRR abs/2403.01749 (2024) - Joshua Brakensiek, Manik Dhar, Jiyang Gao, Sivakanth Gopi, Matt Larson:
Rigidity matroids and linear algebraic matroids with applications to matrix completion and tensor codes. CoRR abs/2405.00778 (2024) - 2023
- Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian:
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler. COLT 2023: 2399-2439 - Joshua Brakensiek, Manik Dhar, Sivakanth Gopi:
Improved Field Size Bounds for Higher Order MDS Codes. ISIT 2023: 1243-1248 - Manik Dhar, Sivakanth Gopi:
A construction of Maximally Recoverable LRCs for small number of local groups. ISIT 2023: 1753-1757 - Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian:
Private Convex Optimization in General Norms. SODA 2023: 5068-5089 - Joshua Brakensiek, Sivakanth Gopi, Visu Makam:
Generic Reed-Solomon Codes Achieve List-Decoding Capacity. STOC 2023: 1488-1501 - Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian:
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler. CoRR abs/2302.06085 (2023) - Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang:
Selective Pre-training for Private Fine-tuning. CoRR abs/2305.13865 (2023) - Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin:
Differentially Private Synthetic Data via Foundation Model APIs 1: Images. CoRR abs/2305.15560 (2023) - Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li:
Textbooks Are All You Need. CoRR abs/2306.11644 (2023) - Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim:
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. CoRR abs/2309.11765 (2023) - Joshua Brakensiek, Manik Dhar, Sivakanth Gopi:
Generalized GM-MDS: Polynomial Codes are Higher Order MDS. CoRR abs/2310.12888 (2023) - Joshua Brakensiek, Manik Dhar, Sivakanth Gopi, Zihan Zhang:
AG codes achieve list decoding capacity over contant-sized fields. CoRR abs/2310.12898 (2023) - 2022
- Joshua Brakensiek, Sivakanth Gopi, Venkatesan Guruswami:
Constraint Satisfaction Problems with Global Modular Constraints: Algorithms and Hardness via Polynomial Representations. SIAM J. Comput. 51(3): 577-626 (2022) - Joshua Brakensiek
, Sivakanth Gopi
, Visu Makam
:
Lower Bounds for Maximally Recoverable Tensor Codes and Higher Order MDS Codes. IEEE Trans. Inf. Theory 68(11): 7125-7140 (2022) - Sivakanth Gopi
, Venkatesan Guruswami:
Improved Maximally Recoverable LRCs Using Skew Polynomials. IEEE Trans. Inf. Theory 68(11): 7198-7214 (2022) - Sivakanth Gopi, Yin Tat Lee, Daogao Liu:
Private Convex Optimization via Exponential Mechanism. COLT 2022: 1948-1989 - Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang:
Differentially Private Fine-tuning of Language Models. ICLR 2022 - Sivakanth Gopi, Yin Tat Lee, Daogao Liu:
Private Convex Optimization via Exponential Mechanism. CoRR abs/2203.00263 (2022) - Joshua Brakensiek, Sivakanth Gopi, Visu Makam:
Generic Reed-Solomon codes achieve list-decoding capacity. CoRR abs/2206.05256 (2022) - Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian:
Private Convex Optimization in General Norms. CoRR abs/2207.08347 (2022) - Joshua Brakensiek, Manik Dhar, Sivakanth Gopi:
Improved Field Size Bounds for Higher Order MDS Codes. CoRR abs/2212.11262 (2022) - Manik Dhar, Sivakanth Gopi:
A construction of Maximally Recoverable LRCs for small number of local groups. CoRR abs/2212.12123 (2022) - 2021
- Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen
, Milad Shokouhi, Sergey Yekhanin:
Differentially Private Set Union. J. Priv. Confidentiality 11(3) (2021)
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