Finale Doshi-Velez

Finale Doshi-Velez

Harvard University

H-index: 52

North America-United States

About Finale Doshi-Velez

Finale Doshi-Velez, With an exceptional h-index of 52 and a recent h-index of 46 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Machine Learning, Health.

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

AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance

Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors

Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure

Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks

Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders

Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials

Guarantee Regions for Local Explanations

Identifying data-driven subtypes of major depressive disorder with electronic health records

Finale Doshi-Velez Information

University

Position

Assistant Professor

Citations(all)

14914

Citations(since 2020)

12732

Cited By

6360

hIndex(all)

52

hIndex(since 2020)

46

i10Index(all)

126

i10Index(since 2020)

111

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Finale Doshi-Velez Skills & Research Interests

Machine Learning

Health

Top articles of Finale Doshi-Velez

Title

Journal

Author(s)

Publication Date

AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance

arXiv preprint arXiv:2404.14660

Tom Zick

Mason Kortz

David Eaves

Finale Doshi-Velez

2024/4/23

Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors

arXiv preprint arXiv:2401.16419

Yidou Weng

Finale Doshi-Velez

2024/1/29

Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure

Siddharth Swaroop

Zana Buçinca

Krzysztof Z. Gajos

Finale Doshi-Velez

2024/2/11

Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks

arXiv preprint arXiv:2401.14923

Eura Nofshin

Siddharth Swaroop

Weiwei Pan

Susan Murphy

Finale Doshi-Velez

2024/1/26

Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders

arXiv preprint arXiv:2403.08941

Yaniv Yacoby

Weiwei Pan

Finale Doshi-Velez

2024/3/13

Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials

arXiv preprint arXiv:2402.17003

Anna L Trella

Kelly W Zhang

Inbal Nahum-Shani

Vivek Shetty

Iris Yan

...

2024/2/26

Guarantee Regions for Local Explanations

arXiv preprint arXiv:2402.12737

Marton Havasi

Sonali Parbhoo

Finale Doshi-Velez

2024/2/20

Identifying data-driven subtypes of major depressive disorder with electronic health records

Journal of Affective Disorders

Abhishek Sharma

Pilar F Verhaak

Thomas H McCoy

Roy H Perlis

Finale Doshi-Velez

2024/7/1

Non-Stationary Latent Auto-Regressive Bandits

arXiv preprint arXiv:2402.03110

Anna L Trella

Walter Dempsey

Finale Doshi-Velez

Susan A Murphy

2024/2/5

Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning

arXiv preprint arXiv:2307.08169

Lars L Ankile

Brian S Ham

Kevin Mao

Eura Shin

Siddharth Swaroop

...

2023/7/16

Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities

arXiv preprint arXiv:2306.12609

Xudong Shen

Hannah Brown

Jiashu Tao

Martin Strobel

Yao Tong

...

2023/6/22

Travel-time prediction using neural-network-based mixture models

Procedia Computer Science

Abhishek Sharma

Jing Zhang

Daniel Nikovski

Finale Doshi-Velez

2023/1/1

Bayesian Inverse Transition Learning for Offline Settings

arXiv preprint arXiv:2308.05075

Leo Benac

Sonali Parbhoo

Finale Doshi-Velez

2023/8/9

Discovering User Types: Characterization of User Traits by Task-Specific Behaviors in Reinforcement Learning

Lars Lien Ankile

Brian Ham

Kevin Mao

Eura Shin

Siddharth Swaroop

...

2023/6/20

On the Effective Horizon of Inverse Reinforcement Learning

arXiv preprint arXiv:2307.06541

Yiqing Xu

Finale Doshi-Velez

David Hsu

2023/7/13

Why do universal adversarial attacks work on large language models?: Geometry might be the answer

Varshini Subhash

Anna Bialas

Weiwei Pan

Finale Doshi-Velez

2023/8/7

Online model selection by learning how compositional kernels evolve

Transactions on Machine Learning Research

Eura Shin

Predrag Klasnja

Susan Murphy

Finale Doshi-Velez

2023/6/12

The unintended consequences of discount regularization: Improving regularization in certainty equivalence reinforcement learning

Sarah Rathnam

Sonali Parbhoo

Weiwei Pan

Susan Murphy

Finale Doshi-Velez

2023/7/3

Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping

arXiv preprint arXiv:2312.09983

Lauren H Cooke

Harvey Klyne

Edwin Zhang

Cassidy Laidlaw

Milind Tambe

...

2023/12/15

Adaptive interventions for both accuracy and time in AI-assisted human decision making

arXiv preprint arXiv:2306.07458

Siddharth Swaroop

Zana Buçinca

Finale Doshi-Velez

2023/6/12

See List of Professors in Finale Doshi-Velez University(Harvard University)