Travis Dick

Travis Dick

University of Pennsylvania

H-index: 15

North America-United States

About Travis Dick

Travis Dick, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Learning Theory, Distributed Learning, Differential Privacy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning to branch: Generalization guarantees and limits of data-independent discretization

Easy learning from label proportions

Better Private Linear Regression Through Better Private Feature Selection

Subset-based instance optimality in private estimation

Measuring re-identification risk

Reply to Sanchéz et al.: Multiplicity does not protect privacy

Confidence-ranked reconstruction of census microdata from published statistics

A Unified Analysis of Label Inference Attacks

Travis Dick Information

University

Position

___

Citations(all)

896

Citations(since 2020)

770

Cited By

416

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Travis Dick Skills & Research Interests

Learning Theory

Distributed Learning

Differential Privacy

Top articles of Travis Dick

Learning to branch: Generalization guarantees and limits of data-independent discretization

Journal of the ACM

2023

Easy learning from label proportions

Advances in Neural Information Processing Systems

2024/2/13

Heejin Choi
Heejin Choi

H-Index: 11

Travis Dick
Travis Dick

H-Index: 11

Better Private Linear Regression Through Better Private Feature Selection

Advances in Neural Information Processing Systems

2024/2/13

Travis Dick
Travis Dick

H-Index: 11

Subset-based instance optimality in private estimation

2023/7/3

Travis Dick
Travis Dick

H-Index: 11

Ziteng Sun
Ziteng Sun

H-Index: 9

Measuring re-identification risk

Proceedings of the ACM on Management of Data

2023/6/20

Reply to Sanchéz et al.: Multiplicity does not protect privacy

Proceedings of the National Academy of Sciences

2023/5/2

Confidence-ranked reconstruction of census microdata from published statistics

Proceedings of the National Academy of Sciences

2023/2/21

A Unified Analysis of Label Inference Attacks

2023/12/12

Travis Dick
Travis Dick

H-Index: 11

A new Framework for Measuring Re-Identification Risk

2023/12/12

Learning-augmented private algorithms for multiple quantile release

2023/7/3

Travis Dick
Travis Dick

H-Index: 11

Private algorithms with private predictions

arXiv preprint arXiv:2210.11222

2022/10

Travis Dick
Travis Dick

H-Index: 11

How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design

2021/6/15

Scalable and provably accurate algorithms for differentially private distributed decision tree learning

2020/12/19

Semi-bandit optimization in the dispersed setting

2020/8/27

Learning piecewise Lipschitz functions in changing environments

2020/6/3

Maria-Florina Balcan
Maria-Florina Balcan

H-Index: 37

Travis Dick
Travis Dick

H-Index: 11

Random Smoothing Might be Unable to Certify Robustness for High-Dimensional Images

Journal of machine learning research

2020

See List of Professors in Travis Dick University(University of Pennsylvania)