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ORCIDGavin Brown 0003
Person information
- affiliation: Boston University, MA, USA
Other persons with the same name
- Gavin Brown — disambiguation page
- Gavin Brown 0001
![[0000-0003-2261-9018]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2261-9018")
— University of Manchester, UK - Gavin Brown 0002 — University of Sydney, NSW, Australia
- Gavin Brown 0004 — University of Warwick, Coventry, UK
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2020 – today
- 2024
[c9]Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Nathan Srebro, Jonathan R. Ullman:
Metalearning with Very Few Samples Per Task. COLT 2024: 46-93- [c8]Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith:
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract. COLT 2024: 750-751 - [c7]Gavin Brown, Krishnamurthy Dj Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Guha Thakurta:
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation. ICML 2024 - [i8]Gavin Brown, Krishnamurthy Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Thakurta:
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation. CoRR abs/2402.13531 (2024) - [i7]Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith:
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares. CoRR abs/2404.15409 (2024) - 2023
- [c6]Gavin Brown, Samuel B. Hopkins, Adam D. Smith:
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions. COLT 2023: 5578-5579 - [i6]Gavin Brown, Samuel B. Hopkins, Adam D. Smith:
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions. CoRR abs/2301.12250 (2023) - [i5]Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Jonathan R. Ullman:
Metalearning with Very Few Samples Per Task. CoRR abs/2312.13978 (2023) - 2022
- [c5]Gavin Brown, Shlomi Hod, Iden Kalemaj:
Performative Prediction in a Stateful World. AISTATS 2022: 6045-6061 - [c4]Gavin Brown, Mark Bun, Adam D. Smith:
Strong Memory Lower Bounds for Learning Natural Models. COLT 2022: 4989-5029 - [i4]Gavin Brown, Mark Bun, Adam D. Smith:
Strong Memory Lower Bounds for Learning Natural Models. CoRR abs/2206.04743 (2022) - 2021
- [c3]Xiao Zhou, Xiao Wang, Gavin Brown, Chengchen Wang, Peter Chin:
Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes. ICMLA 2021: 1749-1754 - [c2]Gavin Brown, Marco Gaboardi, Adam D. Smith, Jonathan R. Ullman, Lydia Zakynthinou:
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation. NeurIPS 2021: 7950-7964 - [c1]Gavin Brown, Mark Bun, Vitaly Feldman, Adam D. Smith, Kunal Talwar:
When is memorization of irrelevant training data necessary for high-accuracy learning? STOC 2021: 123-132 - [i3]Gavin Brown, Marco Gaboardi, Adam D. Smith, Jonathan R. Ullman, Lydia Zakynthinou:
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation. CoRR abs/2106.13329 (2021) - 2020
- [i2]Gavin Brown, Shlomi Hod, Iden Kalemaj:
Performative Prediction in a Stateful World. CoRR abs/2011.03885 (2020) - [i1]Gavin Brown, Mark Bun, Vitaly Feldman, Adam D. Smith, Kunal Talwar:
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? CoRR abs/2012.06421 (2020)
2010 – 2019
- 2017
- [j1]Sang Peter Chin, Jonathan Cohen, Alison Albin, Mykola Hayvanovych, Elizabeth Reilly, Gavin Brown, Jacob Harer:
A Mathematical Analysis of Network Controllability Through Driver Nodes. IEEE Trans. Comput. Soc. Syst. 4(2): 40-51 (2017)
Coauthor Index
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