Shivani Agarwal

Shivani Agarwal

University of Pennsylvania

H-index: 34

North America-United States

About Shivani Agarwal

Shivani Agarwal, With an exceptional h-index of 34 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Machine Learning, Learning Theory.

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

Consistent Multiclass Algorithms for Complex Metrics and Constraints

Learning from noisy labels with no change to the training process

Stochastic dueling bandits with adversarial corruption

Convex Calibrated Surrogates for the Multi-Label F-Measure

Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions

Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles

Conference on Learning Theory 2020: Preface

Choice Bandits

Shivani Agarwal Information

University

Position

___

Citations(all)

5462

Citations(since 2020)

1860

Cited By

4453

hIndex(all)

34

hIndex(since 2020)

25

i10Index(all)

55

i10Index(since 2020)

42

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

Shivani Agarwal Skills & Research Interests

Machine Learning

Learning Theory

Top articles of Shivani Agarwal

Title

Journal

Author(s)

Publication Date

Consistent Multiclass Algorithms for Complex Metrics and Constraints

arXiv preprint arXiv:2210.09695

Harikrishna Narasimhan

Harish G Ramaswamy

Shiv Kumar Tavker

Drona Khurana

Praneeth Netrapalli

...

2022/10/18

Learning from noisy labels with no change to the training process

Mingyuan Zhang

Jane Lee

Shivani Agarwal

2021/7/1

Stochastic dueling bandits with adversarial corruption

Arpit Agarwal

Shivani Agarwal

Prathamesh Patil

2021/3/1

Convex Calibrated Surrogates for the Multi-Label F-Measure

Mingyuan Zhang

Harish Guruprasad Ramaswamy

Shivani Agarwal

2020/11/21

Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions

Arpit Agarwal

Shivani Agarwal

Sanjeev Khanna

Prathamesh Patil

2020/11/21

Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles

Harvard Data Science Review

Shivani Agarwal

2020/9/30

Conference on Learning Theory 2020: Preface

Jacob Abernethy

Shivani Agarwal

2020/7/15

Choice Bandits

Advances in Neural Information Processing Systems

Arpit Agarwal

Nicholas Johnson

Shivani Agarwal

2020

Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class

Advances in Neural Information Processing Systems

Mingyuan Zhang

Shivani Agarwal

2020

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