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2020 – today
- 2023
[i13]Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Thakurta, Lun Wang:
Why Is Public Pretraining Necessary for Private Model Training? CoRR abs/2302.09483 (2023)- [i12]Arun Ganesh, Daogao Liu, Sewoong Oh, Abhradeep Thakurta:
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks. CoRR abs/2302.09699 (2023) - 2022
- [c9]Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta:
Public Data-Assisted Mirror Descent for Private Model Training. ICML 2022: 517-535 - [c8]Arun Ganesh, Tomasz Kociumaka, Andrea Lincoln, Barna Saha:
How Compression and Approximation Affect Efficiency in String Distance Measures. SODA 2022: 2867-2919 - [i11]Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay:
Langevin Diffusion: An Almost Universal Algorithm for Private Euclidean (Convex) Optimization. CoRR abs/2204.01585 (2022) - [i10]Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Om Thakkar, Abhradeep Thakurta:
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints. CoRR abs/2210.01864 (2022) - 2021
- [j1]Yossi Azar, Arun Ganesh, Rong Ge, Debmalya Panigrahi:
Online Service with Delay. ACM Trans. Algorithms 17(3): 23:1-23:31 (2021) - [c7]Arun Ganesh, Jiazheng Zhao:
Privately Answering Counting Queries with Generalized Gaussian Mechanisms. FORC 2021: 1:1-1:18 - [c6]Arun Ganesh, Bruce M. Maggs, Debmalya Panigrahi:
Universal Algorithms for Clustering Problems. ICALP 2021: 70:1-70:20 - [i9]Arun Ganesh, Bruce M. Maggs, Debmalya Panigrahi:
Universal Algorithms for Clustering. CoRR abs/2105.02363 (2021) - [i8]Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta:
Public Data-Assisted Mirror Descent for Private Model Training. CoRR abs/2112.00193 (2021) - [i7]Arun Ganesh, Tomasz Kociumaka, Andrea Lincoln, Barna Saha:
How Compression and Approximation Affect Efficiency in String Distance Measures. CoRR abs/2112.05836 (2021) - 2020
- [c5]Arun Ganesh, Bruce M. Maggs, Debmalya Panigrahi:
Robust Algorithms for TSP and Steiner Tree. ICALP 2020: 54:1-54:18 - [c4]Arun Ganesh, Kunal Talwar:
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC. NeurIPS 2020 - [c3]Arun Ganesh, Aaron Sy:
Near-Linear Time Edit Distance for Indel Channels. WABI 2020: 17:1-17:18 - [i6]Arun Ganesh, Bruce M. Maggs, Debmalya Panigrahi:
Robust Algorithms for TSP and Steiner Tree. CoRR abs/2005.08137 (2020) - [i5]Arun Ganesh, Aaron Sy:
Near-Linear Time Edit Distance for Indel Channels. CoRR abs/2007.03040 (2020) - [i4]Arun Ganesh, Jiazheng Zhao:
Privately Answering Counting Queries with Generalized Gaussian Mechanisms. CoRR abs/2010.01457 (2020) - [i3]Arun Ganesh, Kunal Talwar:
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC. CoRR abs/2010.14658 (2020)
2010 – 2019
- 2019
- [c2]Arun Ganesh, Qiuyi (Richard) Zhang:
Optimal sequence length requirements for phylogenetic tree reconstruction with indels. STOC 2019: 721-732 - 2018
- [i2]Arun Ganesh, Qiuyi (Richard) Zhang:
Optimal Sequence Length Requirements for Phylogenetic Tree Reconstruction with Indels. CoRR abs/1811.01121 (2018) - 2017
- [c1]Yossi Azar, Arun Ganesh, Rong Ge, Debmalya Panigrahi:
Online service with delay. STOC 2017: 551-563 - [i1]Yossi Azar, Arun Ganesh, Rong Ge, Debmalya Panigrahi:
Online Service with Delay. CoRR abs/1708.05611 (2017)
Coauthor Index
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last updated on 2023-02-25 02:32 CET by the dblp team
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