Dave Zachariah

Dave Zachariah

Uppsala Universitet

H-index: 23

Europe-Sweden

About Dave Zachariah

Dave Zachariah, With an exceptional h-index of 23 and a recent h-index of 15 (since 2020), a distinguished researcher at Uppsala Universitet, specializes in the field of statistical machine learning, statistical signal processing, causal inference, localization, econophysics.

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

Regularization properties of adversarially-trained linear regression

CalibrationAnalysis. jl: Calibration analysis of probabilistic models in Julia

Externally Valid Policy Evaluation Combining Trial and Observational Data

Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness

Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals

Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]

Regularized Linear Regression via Covariance Fitting

Off-Policy Evaluation with Out-of-Sample Guarantees

Dave Zachariah Information

University

Position

Associate Professor

Citations(all)

1480

Citations(since 2020)

715

Cited By

1101

hIndex(all)

23

hIndex(since 2020)

15

i10Index(all)

37

i10Index(since 2020)

23

Email

University Profile Page

Uppsala Universitet

Google Scholar

View Google Scholar Profile

Dave Zachariah Skills & Research Interests

statistical machine learning

statistical signal processing

causal inference

localization

econophysics

Top articles of Dave Zachariah

Title

Journal

Author(s)

Publication Date

Regularization properties of adversarially-trained linear regression

Antônio H Ribeiro

Dave Zachariah

Francis Bach

Thomas B Schön

2023/12

CalibrationAnalysis. jl: Calibration analysis of probabilistic models in Julia

David Widmann

Dave Zachariah

Fredrik Lindsten

2023

Externally Valid Policy Evaluation Combining Trial and Observational Data

arXiv preprint arXiv:2310.14763

Sofia Ek

Dave Zachariah

2023/10/23

Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness

Transactions on Machine Learning Research (TMLR)

Muhammad Osama

Dave Zachariah

Peter Stoica

Thomas B. Schön

2023

Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals

IEEE Transactions on Instrumentation and Measurement

Zengkun Wang

Petre Stoica

Dave Zachariah

Prabhu Babu

Zhibo Yang

2023/10/16

Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]

IEEE Signal Processing Magazine

Per Mattsson

Dave Zachariah

Petre Stoica

2023/5/1

Regularized Linear Regression via Covariance Fitting

IEEE Transactions on Signal Processing

Per Mattsson

Dave Zachariah

Petre Stoica

2023/3/30

Off-Policy Evaluation with Out-of-Sample Guarantees

Transactions on Machine Learning Research

Sofia Ek

Dave Zachariah

Fredrik D Johansson

Petre Stoica

2023/6

Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables

arXiv preprint arXiv:2312.00585

Aleksandr Karakulev

Dave Zachariah

Prashant Singh

2023/12/1

Learning Pareto-Efficient Decisions with Confidence

Sofia Ek

Dave Zachariah

Peter Stoica

2022/5/3

Calibration tests beyond classification

David Widmann

Fredrik Lindsten

Dave Zachariah

2020/9/28

Diagnostic Tool for Out-of-Sample Model Evaluation

arXiv preprint arXiv:2206.10982

Ludvig Hult

Dave Zachariah

Petre Stoica

2022/6/22

Surprises in adversarially-trained linear regression

arXiv preprint arXiv:2205.12695

Antônio H Ribeiro

Dave Zachariah

Thomas B Schön

2022/5/25

Inference of Causal Effects when Control Variables are Unknown

Ludvig Hult

Dave Zachariah

2021/12/1

Robust localization in wireless networks from corrupted signals

EURASIP Journal on Advances in Signal Processing

Muhammad Osama

Dave Zachariah

Satyam Dwivedi

Petre Stoica

2021/12

Advanced processing of a blade vibratory response obtained with tip timing method using hyperparameter-free sparse estimation method

Vsevolod Kharyton

Dave Zachariah

2021/6/7

Robust Learning in Heterogeneous Contexts

arXiv preprint arXiv:2105.08532

Muhammad Osama

Dave Zachariah

Petre Stoica

2021/5/18

Scalable Belief Updating for Urban Air Quality Modeling and Prediction

ACM Transactions on Data Science

Xiuming Liu

Edith Ngai

Dave Zachariah

2021/1/3

Scalable Belief Updating forUrban Air Quality Modeling and Prediction

Xiuming Liu

Dave Zachariah

Edith Ngai

2020

Semi-Supervised Learning of Classierswhen Labels are Missing at Random

Xiuming Liu

Dave Zachariah

Petre Stoica

2020

See List of Professors in Dave Zachariah University(Uppsala Universitet)

Co-Authors

H-index: 123
Petre (Peter) Stoica (0000-0002-7957-3711)

Petre (Peter) Stoica (0000-0002-7957-3711)

Uppsala Universitet

H-index: 49
Peter Händel

Peter Händel

Kungliga Tekniska högskolan

H-index: 47
Mikael Skoglund

Mikael Skoglund

Kungliga Tekniska högskolan

H-index: 40
Mats Bengtsson

Mats Bengtsson

Kungliga Tekniska högskolan

H-index: 33
Isaac Skog

Isaac Skog

Linköpings Universitet

H-index: 32
W. Paul Cockshott

W. Paul Cockshott

University of Glasgow

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