Dave Zachariah
Universitetslektor vid Institutionen för informationsteknologi; Systemteknik
- E-post:
- dave.zachariah@it.uu.se
- Besöksadress:
- Hus 10, Regementsvägen 10
- Postadress:
- Box 337
751 05 UPPSALA
- Akademiska meriter:
- Docent
- CV:
- Ladda ned CV
Kort presentation
Associate professor at the division of Systems and Control and coordinator of the Machine Learning Arena. Research interests include: statistical machine learning & signal processing; decision theory & causal inference; localization & sensor fusion.
Data-Driven Decisions and Control Group
Paper preprints available on arXiv
Reproducible research accessible on github

Publikationer
Senaste publikationer
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Certified Inventory Control of Critical Resources
Ingår i Operations Research Letters, 2026
- DOI för Certified Inventory Control of Critical Resources
- Ladda ner fulltext (pdf) av Certified Inventory Control of Critical Resources
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Ingår i eClinicalMedicine, 2026
- DOI för Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study
- Ladda ner fulltext (pdf) av Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study
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Target tracking using robust sensor motion control
Ingår i Signal Processing, 2026
- DOI för Target tracking using robust sensor motion control
- Ladda ner fulltext (pdf) av Target tracking using robust sensor motion control
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Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
Ingår i IEEE Signal Processing Letters, s. 151-155, 2026
- DOI för Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
- Ladda ner fulltext (pdf) av Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
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Predicting allergy and postpartum depression from an incomplete compositional microbiome
Ingår i BMC Genomics, 2025
- DOI för Predicting allergy and postpartum depression from an incomplete compositional microbiome
- Ladda ner fulltext (pdf) av Predicting allergy and postpartum depression from an incomplete compositional microbiome
Alla publikationer
Artiklar i tidskrift
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Certified Inventory Control of Critical Resources
Ingår i Operations Research Letters, 2026
- DOI för Certified Inventory Control of Critical Resources
- Ladda ner fulltext (pdf) av Certified Inventory Control of Critical Resources
-
Ingår i eClinicalMedicine, 2026
- DOI för Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study
- Ladda ner fulltext (pdf) av Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study
-
Target tracking using robust sensor motion control
Ingår i Signal Processing, 2026
- DOI för Target tracking using robust sensor motion control
- Ladda ner fulltext (pdf) av Target tracking using robust sensor motion control
-
Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
Ingår i IEEE Signal Processing Letters, s. 151-155, 2026
- DOI för Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
- Ladda ner fulltext (pdf) av Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
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Predicting allergy and postpartum depression from an incomplete compositional microbiome
Ingår i BMC Genomics, 2025
- DOI för Predicting allergy and postpartum depression from an incomplete compositional microbiome
- Ladda ner fulltext (pdf) av Predicting allergy and postpartum depression from an incomplete compositional microbiome
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Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
Ingår i Advances Neural Information Processing Systems, 2025
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Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction
Ingår i JCO Clinical Cancer Informatics, 2025
- DOI för Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction
- Ladda ner fulltext (pdf) av Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction
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Ingår i Neurocritical Care, s. 387-397, 2024
- DOI för Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury
- Ladda ner fulltext (pdf) av Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury
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Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness
Ingår i Transactions on Machine Learning Research, 2023
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Off-Policy Evaluation with Out-of-Sample Guarantees
Ingår i Transactions on Machine Learning Research, 2023
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Diagnostic Tool for Out-of-Sample Model Evaluation
Ingår i Transactions on Machine Learning Research, 2023
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Ingår i IEEE Transactions on Instrumentation and Measurement, 2023
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Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]
Ingår i IEEE signal processing magazine (Print), s. 39-75, 2023
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Regularized Linear Regression via Covariance Fitting
Ingår i IEEE Transactions on Signal Processing, s. 1175-1183, 2023
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A shift from the problematic of "transformation"
Ingår i WORLD REVIEW OF POLITICAL ECONOMY, s. 463-471, 2022
- DOI för A shift from the problematic of "transformation"
- Ladda ner fulltext (pdf) av A shift from the problematic of "transformation"
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Robust localization in wireless networks from corrupted signals
Ingår i EURASIP Journal on Advances in Signal Processing, 2021
- DOI för Robust localization in wireless networks from corrupted signals
- Ladda ner fulltext (pdf) av Robust localization in wireless networks from corrupted signals
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Scalable Belief Updating for Urban Air Quality Modeling and Prediction
Ingår i ACM/IMS Transactions on Data Science, s. 1-19, 2021
- DOI för Scalable Belief Updating for Urban Air Quality Modeling and Prediction
- Ladda ner fulltext (pdf) av Scalable Belief Updating for Urban Air Quality Modeling and Prediction
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Robust Risk Minimization for Statistical Learning From Corrupted Data
Ingår i IEEE Open Journal of Signal Processing, s. 287-294, 2020
- DOI för Robust Risk Minimization for Statistical Learning From Corrupted Data
- Ladda ner fulltext (pdf) av Robust Risk Minimization for Statistical Learning From Corrupted Data
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Robust Prediction When Features are Missing
Ingår i IEEE Signal Processing Letters, s. 720-724, 2020
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Classical labor values: properties of economic reproduction
Ingår i World Review of Political Economy, s. 388-414, 2020
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Data Consistency Approach to Model Validation
Ingår i IEEE Access, s. 59788-59796, 2019
- DOI för Data Consistency Approach to Model Validation
- Ladda ner fulltext (pdf) av Data Consistency Approach to Model Validation
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Effect Inference From Two-Group Data With Sampling Bias
Ingår i IEEE Signal Processing Letters, s. 1103-1106, 2019
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Learning sparse graphs for prediction of multivariate data processes
Ingår i IEEE Signal Processing Letters, s. 495-499, 2019
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Identification of cascade water tanks using a PWARX model
Ingår i Mechanical systems and signal processing, s. 40-48, 2018
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Recursive nonlinear-system identification using latent variables
Ingår i Automatica, s. 343-351, 2018
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Ingår i IEEE Journal of Oceanic Engineering, s. 725-734, 2018
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Comments on “Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis”
Ingår i IEEE Transactions on Signal Processing, s. 6113-6114, 2017
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Scalable and Passive Wireless Network Clock Synchronization in LOS Environments
Ingår i IEEE Transactions on Wireless Communications, s. 3536-3546, 2017
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A multicomponent T2 relaxometry algorithm for myelin water imaging of the brain
Ingår i Magnetic Resonance in Medicine, s. 390-402, 2016
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Recursive identification method for piecewise ARX models: A sparse estimation approach
Ingår i IEEE Transactions on Signal Processing, s. 5082-5093, 2016
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Online hyperparameter-free sparse estimation method
Ingår i IEEE Transactions on Signal Processing, s. 3348-3359, 2015
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Cramér–Rao bound analog of Bayes' rule
Ingår i IEEE signal processing magazine (Print), s. 164-168, 2015
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Joint ranging and clock parameter estimation by wireless round trip time measurements
Ingår i IEEE Journal on Selected Areas in Communications, s. 2379-2390, 2015
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Schedule-based sequential localization in asynchronous wireless networks
Ingår i EURASIP Journal on Advances in Signal Processing, 2014
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Estimation for the linear model with uncertain covariance matrices
Ingår i IEEE Transactions on Signal Processing, s. 1525-1535, 2014
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Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging
Ingår i EURASIP Journal on Advances in Signal Processing, 2013
Artiklar, forskningsöversikt
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Weighted SPICE: A unifying approach for hyperparameter-free sparse estimation
Ingår i Digital signal processing (Print), s. 1-12, 2014
Konferensbidrag
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Detecting feedback-path delay injection attacks using interacting multiple model filtering
2025
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Efficient Optimization Algorithms for Linear Adversarial Training
Ingår i International Conference on Artificial Intelligence and Statistics, s. 1207-1215, 2025
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Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
Ingår i ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024), s. 69787-69813, 2024
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Safe Output Feedback Improvement with Baselines
Ingår i 2024 IEEE 63rd Conference on Decision and Control (CDC), s. 1899-1904, 2024
- DOI för Safe Output Feedback Improvement with Baselines
- Ladda ner fulltext (pdf) av Safe Output Feedback Improvement with Baselines
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Adaptive Robust Learning using Latent Bernoulli Variables
Ingår i Proceedings of the 41st International Conference on Machine Learning, s. 23105-23122, 2024
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Experimental Characterization of a Robust Localization Method Based on UWB Ranging
Ingår i 2024 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2024, s. 1-5, 2024
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Regularization properties of adversarially-trained linear regression
Ingår i Advances in Neural Information Processing Systems 36 (NeurIPS 2023), s. 23658-23670, 2023
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Learning Pareto-Efficient Decisions with Confidence
Ingår i International Conference on Artificial Intelligence and Statistics, s. 9969-9981, 2022
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Inference of Causal Effects when Control Variables are Unknown
Ingår i Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, PMLR, s. 1300-1309, 2021
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Ingår i ASME Turbo Expo 2021, 2021
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Learning Robust Decision Policies from Observational Data
Ingår i Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
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Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood
Ingår i 30th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2020, Espoo, Finland, September 21-24, 2020, s. 1-6, 2020
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A latent variable approach to heat load prediction in thermal grids
Ingår i 2020 European Control Conference (ECC), s. 344-349, 2020
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Flexible Models for Smart Maintenance
Ingår i 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), s. 1772-1777, 2019
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Calibration tests in multi-class classification: A unifying framework
Ingår i ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019
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Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding
Ingår i Proceedings of the 36th International Conference on Machine Learning, s. 4942-4950, 2019
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Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
Ingår i ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019
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Learning localized spatio-temporal models from streaming data
Ingår i Proceedings of the 35th International Conference on Machine Learning, s. 3927-3935, 2018
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Regularized parametric system identification: a decision-theoretic formulation
Ingår i 2018 Annual American Control Conference (ACC), s. 1895-1900, 2018
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Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors
s. 473-478, 2018
- DOI för Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors
- Ladda ner fulltext (pdf) av Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors
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How consistent is my model with the data?: Information-theoretic model check
s. 407-412, 2018
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Model-robust counterfactual prediction method
Ingår i ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action, 2018
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Prediction Performance After Learning in Gaussian Process Regression
Ingår i Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, s. 1264-1272, 2017
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Prediction performance after learning in Gaussian process regression
Ingår i 25th European Research Network System Identification Workshop, 2016
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Recursive nonlinear system identification using latent variables
Ingår i 25th European Research Network System Identification Workshop, 2016
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Online prediction of spatial fields for radio-frequency communication
Ingår i Proc. 24th European Signal Processing Conference, s. 1252-1256, 2016
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Ingår i Proc. 22nd European Signal Processing Conference, 2014
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Minimum sidelobe beampattern design for MIMO radar systems: A robust approach
Ingår i Proc. 39th International Conference on Acoustics, Speech, and Signal Processing, s. 5312-5316, 2014
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Enhanced Capon beamformer using regularized covariance matching
Ingår i Proc. 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, s. 97-100, 2013
Manuskript (preprint)
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Composite Gaussian Processes: Scalable Computation and Performance Analysis
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Scalable Belief Updating forUrban Air Quality Modeling and Prediction
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Semi-Supervised Learning of Classierswhen Labels are Missing at Random
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CalibrationAnalysis.jl: Calibration analysis of probabilistic models in Julia
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Learning Treatment Allocations with Risk Control Under Partial Identifiability
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