Ramya Korlakai Vinayak

Ramya Korlakai Vinayak

University of Washington

H-index: 7

North America-United States

About Ramya Korlakai Vinayak

Ramya Korlakai Vinayak, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Machine Learning, Statistical Inference, Crowdsourcing, Graph Clustering.

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

Unraveling The Impact of Training Samples

Promises and Pitfalls of Threshold-based Auto-labeling

Fisher-Pitman permutation tests based on nonparametric poisson mixtures with application to single cell genomics

Taming False Positives in Out-of-Distribution Detection with Human Feedback

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling

Learning populations of preferences via pairwise comparison queries

Metric learning from limited pairwise preference comparisons

Understanding Threshold-based Auto-labeling: The Good, the Bad, and the Terra Incognita

Ramya Korlakai Vinayak Information

University

Position

Postdoc Paul G. Allen School of Computer Science

Citations(all)

211

Citations(since 2020)

149

Cited By

132

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Ramya Korlakai Vinayak Skills & Research Interests

Machine Learning

Statistical Inference

Crowdsourcing

Graph Clustering

Top articles of Ramya Korlakai Vinayak

Unraveling The Impact of Training Samples

2024/2/16

Jane Zhang
Jane Zhang

H-Index: 9

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

Promises and Pitfalls of Threshold-based Auto-labeling

Advances in Neural Information Processing Systems

2024/2/13

Fisher-Pitman permutation tests based on nonparametric poisson mixtures with application to single cell genomics

Journal of the American Statistical Association

2024/1/2

Taming False Positives in Out-of-Distribution Detection with Human Feedback

arXiv preprint arXiv:2404.16954

2024/4/25

Harit Vishwakarma
Harit Vishwakarma

H-Index: 4

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling

arXiv preprint arXiv:2404.16188

2024/4/24

Learning populations of preferences via pairwise comparison queries

2024/4/18

Yi Chen
Yi Chen

H-Index: 3

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

Metric learning from limited pairwise preference comparisons

arXiv preprint arXiv:2403.19629

2024/3/28

Zhi Wang
Zhi Wang

H-Index: 9

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

Understanding Threshold-based Auto-labeling: The Good, the Bad, and the Terra Incognita

2023/12/22

Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control

2023/12/22

Crowdsourced Clustering via Active Querying: Practical Algorithm with Theoretical Guarantees

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

2023/11/3

Yi Chen
Yi Chen

H-Index: 3

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

Unbiased Face Synthesis With Diffusion Models: Are We There Yet?

2023/9/13

Shimaa Ahmed
Shimaa Ahmed

H-Index: 1

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

Kassem Fawaz
Kassem Fawaz

H-Index: 16

Good data from bad models: Foundations of threshold-based auto-labeling

arXiv preprint arXiv:2211.12620

2022/11/22

Learning preference distributions from distance measurements

2022/9/27

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

One for All: Simultaneous Metric and Preference Learning over Multiple Users.

2022/7/7

Gregory Canal
Gregory Canal

H-Index: 2

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

Robert Nowak
Robert Nowak

H-Index: 4

Estimating the number and effect sizes of non-null hypotheses

2020/11/21

Ramya Korlakai Vinayak
Ramya Korlakai Vinayak

H-Index: 5

Kevin Jamieson
Kevin Jamieson

H-Index: 20

See List of Professors in Ramya Korlakai Vinayak University(University of Washington)

Co-Authors

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