Sivakanth Gopi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
7
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLT | DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory. | Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan Kulkarni, Thomas Rothvoss, Sivakanth Gopi |
| 2025 | STOC | Tensor Concentration Inequalities: A Geometric Approach. | Afonso S. Bandeira, Sivakanth Gopi, Haotian Jiang, Kevin Lucca, Thomas Rothvoss |
| 2024 | ICLR | Differentially Private Synthetic Data via Foundation Model APIs 1: Images. | Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin |
| 2024 | ICLR | Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. | Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim |
| 2024 | ICML | Differentially Private Synthetic Data via Foundation Model APIs 2: Text. | 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 |
| 2024 | STOC | Generalized GM-MDS: Polynomial Codes Are Higher Order MDS. | Joshua Brakensiek, Manik Dhar, Sivakanth Gopi |
| 2024 | STOC | AG Codes Achieve List Decoding Capacity over Constant-Sized Fields. | Joshua Brakensiek, Manik Dhar, Sivakanth Gopi, Zihan Zhang |
| 2023 | COLT | Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler. | Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian |
| 2023 | ISIT | Improved Field Size Bounds for Higher Order MDS Codes. | Joshua Brakensiek, Manik Dhar, Sivakanth Gopi |
| 2023 | ISIT | A construction of Maximally Recoverable LRCs for small number of local groups. | Manik Dhar, Sivakanth Gopi |
| 2023 | SODA | Private Convex Optimization in General Norms. | Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian |
| 2023 | STOC | Generic Reed-Solomon Codes Achieve List-Decoding Capacity. | Joshua Brakensiek, Sivakanth Gopi, Visu Makam |
| 2022 | COLT | Private Convex Optimization via Exponential Mechanism. | Sivakanth Gopi, Yin Tat Lee, Daogao Liu |
| 2022 | ICLR | Differentially Private Fine-tuning of Language Models. | 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 |
| 2021 | ISIT | Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage. | Sundara Rajan Srinivasavaradhan, Sivakanth Gopi, Henry D. Pfister, Sergey Yekhanin |
| 2020 | COLT | Locally Private Hypothesis Selection. | Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang |
| 2020 | ICML | Differentially Private Set Union. | Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin |
| 2019 | SODA | Maximally Recoverable LRCs: A field size lower bound and constructions for few heavy parities. | Sivakanth Gopi, Venkatesan Guruswami, Sergey Yekhanin |
| 2019 | STOC | CSPs with global modular constraints: algorithms and hardness via polynomial representations. | Joshua Brakensiek, Sivakanth Gopi, Venkatesan Guruswami |
| 2017 | SODA | Competitive analysis of the top- | Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider |
| 2017 | SODA | Locally Testable and Locally Correctable Codes Approaching the Gilbert-Varshamov Bound. | Sivakanth Gopi, Swastik Kopparty, Rafael Mendes de Oliveira, Noga Ron-Zewi, Shubhangi Saraf |
| 2015 | STOC | 2-Server PIR with Sub-Polynomial Communication. | Zeev Dvir, Sivakanth Gopi |
| 2013 | ICML | One-Bit Compressed Sensing: Provable Support and Vector Recovery. | Sivakanth Gopi, Praneeth Netrapalli, Prateek Jain, Aditya V. Nori |
| 2012 | EMSOFT | Synthesis from incompatible specifications. | Pavol Cern, Sivakanth Gopi, Thomas A. Henzinger, Arjun Radhakrishna, Nishant Totla |