David Jensen

David Jensen

University of Massachusetts Amherst

H-index: 50

North America-United States

About David Jensen

David Jensen, With an exceptional h-index of 50 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Machine Learning, Causation, Causal Discovery, Statistical Relational Learning, Computational Social Science.

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

Automated Discovery of Functional Actual Causes in Complex Environments

Novelty in 2D CartPole Domain

Causal Dynamic Bayesian Networks for Simulation Metamodeling

Environmental peacebuilding and sustaining peace: The United Nations and integrated approaches

Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests

Measuring Interventional Robustness in Reinforcement Learning

Stick It to The Man: Correcting for {Non-Cooperative} Behavior of Subjects in Experiments on Social Networks

Improving causal inference by increasing model expressiveness

David Jensen Information

University

Position

Professor of Computer Science

Citations(all)

14189

Citations(since 2020)

3145

Cited By

14255

hIndex(all)

50

hIndex(since 2020)

26

i10Index(all)

103

i10Index(since 2020)

54

Email

University Profile Page

University of Massachusetts Amherst

Google Scholar

View Google Scholar Profile

David Jensen Skills & Research Interests

Machine Learning

Causation

Causal Discovery

Statistical Relational Learning

Computational Social Science

Top articles of David Jensen

Title

Journal

Author(s)

Publication Date

Automated Discovery of Functional Actual Causes in Complex Environments

arXiv preprint arXiv:2404.10883

Caleb Chuck

Sankaran Vaidyanathan

Stephen Giguere

Amy Zhang

David Jensen

...

2024/4/16

Novelty in 2D CartPole Domain

PA Grabowicz

C Pereyda

K Clary

R Stern

T Boult

...

2023/8/2

Causal Dynamic Bayesian Networks for Simulation Metamodeling

Pracheta Amaranath

Peter J Haas

David Jensen

Sam Witty

2023/12/10

Environmental peacebuilding and sustaining peace: The United Nations and integrated approaches

Albert Martinez

David Jensen

2023/8/17

Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests

arXiv preprint arXiv:2211.06536

Erica Cai

Andrew McGregor

David Jensen

2022/11/12

Measuring Interventional Robustness in Reinforcement Learning

arXiv preprint arXiv:2209.09058

Katherine Avery

Jack Kenney

Pracheta Amaranath

Erica Cai

David Jensen

2022/9/19

Stick It to The Man: Correcting for {Non-Cooperative} Behavior of Subjects in Experiments on Social Networks

Kaleigh Clary

Emma Tosch

Jeremiah Onaolapo

David D Jensen

2022

Improving causal inference by increasing model expressiveness

Proceedings of the AAAI Conference on Artificial Intelligence

David D Jensen

2021/5/18

Introduction to the Reproducibility Crisis

David Jensen

2021/9/8

SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference

arXiv preprint arXiv:2102.11761

Sam Witty

David Jensen

Vikash Mansinghka

2021/2/23

PlanAlyzer: assessing threats to the validity of online experiments

Communications of the ACM

Emma Tosch

Eytan Bakshy

Emery D Berger

David D Jensen

J Eliot B Moss

2021/8/24

Preserving Privacy in Personalized Models for Distributed Mobile Services

Akanksha Atrey

Prashant Shenoy

David Jensen

2021/7/7

How and why to use experimental data to evaluate methods for observational causal inference

Amanda M Gentzel

Purva Pruthi

David Jensen

2021/7/1

Defining Environmental Peacebuilding

Carl Bruch

David Jensen

Monica Emma

2021/12/21

Brittle AI, causal confusion, and bad mental models: challenges and successes in the XAI program

arXiv preprint arXiv:2106.05506

Jeff Druce

James Niehaus

Vanessa Moody

David Jensen

Michael L Littman

2021/6/10

Measuring and characterizing generalization in deep reinforcement learning

Applied AI Letters

Sam Witty

Jun K Lee

Emma Tosch

Akanksha Atrey

Kaleigh Clary

...

2021/12

Causal inference using Gaussian processes with structured latent confounders

Sam Witty

Kenta Takatsu

David Jensen

Vikash Mansinghka

2020/11/21

Object conditioning for causal inference

David Jensen

Javier Burroni

Matthew Rattigan

2020/8/6

Text and causal inference: A review of using text to remove confounding from causal estimates

Katherine A Keith

David Jensen

Brendan O'Connor

2020/5/1

See List of Professors in David Jensen University(University of Massachusetts Amherst)

Co-Authors

H-index: 142
Don Towsley

Don Towsley

University of Massachusetts Amherst

H-index: 71
James Allan

James Allan

University of Massachusetts Amherst

H-index: 57
Brian Neil Levine

Brian Neil Levine

University of Massachusetts Amherst

H-index: 56
Paul R. Cohen

Paul R. Cohen

University of Pittsburgh

H-index: 45
Jennifer Neville

Jennifer Neville

Purdue University

H-index: 41
Gerome Miklau

Gerome Miklau

University of Massachusetts Amherst

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