Gavin Brown - RankMe

19 papers A* 7A 1C 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Tukey Depth Mechanisms for Practical Private Mean Estimation. CoRR Gavin Brown, Lydia Zakynthinou
2024	A*	`conf`	Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract. COLT Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith
2024	J	`jnl`	Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares. CoRR Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith
2024	A*	`conf`	Metalearning with Very Few Samples Per Task. COLT Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Nathan Srebro, Jonathan R. Ullman
2024	A*	`conf`	Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation. ICML Gavin Brown, Krishnamurthy Dj Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Guha Thakurta
2024	J	`jnl`	Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation. CoRR Gavin Brown, Krishnamurthy Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Thakurta
2023	A*	`conf`	Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions. COLT Gavin Brown, Samuel B. Hopkins, Adam Smith
2023	J	`jnl`	Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions. CoRR Gavin Brown, Samuel B. Hopkins, Adam D. Smith
2023	J	`jnl`	Metalearning with Very Few Samples Per Task. CoRR Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Jonathan R. Ullman
2022	A	`conf`	Performative Prediction in a Stateful World. AISTATS Gavin Brown, Shlomi Hod, Iden Kalemaj
2022	A*	`conf`	Strong Memory Lower Bounds for Learning Natural Models. COLT Gavin Brown, Mark Bun, Adam D. Smith
2022	J	`jnl`	Strong Memory Lower Bounds for Learning Natural Models. CoRR Gavin Brown, Mark Bun, Adam D. Smith
2021	A*	`conf`	Covariance-Aware Private Mean Estimation Without Private Covariance Estimation. NeurIPS Gavin Brown, Marco Gaboardi, Adam D. Smith, Jonathan R. Ullman, Lydia Zakynthinou
2021	J	`jnl`	Covariance-Aware Private Mean Estimation Without Private Covariance Estimation. CoRR Gavin Brown, Marco Gaboardi, Adam D. Smith, Jonathan R. Ullman, Lydia Zakynthinou
2021	C	`conf`	Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes. ICMLA Xiao Zhou, Xiao Wang, Gavin Brown, Chengchen Wang, Peter Chin
2021	A*	`conf`	When is memorization of irrelevant training data necessary for high-accuracy learning? STOC Gavin Brown, Mark Bun, Vitaly Feldman, Adam D. Smith, Kunal Talwar
2020	J	`jnl`	Performative Prediction in a Stateful World. CoRR Gavin Brown, Shlomi Hod, Iden Kalemaj
2020	J	`jnl`	When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? CoRR Gavin Brown, Mark Bun, Vitaly Feldman, Adam D. Smith, Kunal Talwar
2017	J	`jnl`	A Mathematical Analysis of Network Controllability Through Driver Nodes. IEEE Trans. Comput. Soc. Syst. Sang Peter Chin, Jonathan Cohen, Alison Albin, Mykola Hayvanovych, Elizabeth Reilly, Gavin Brown, Jacob Harer