Dave Zachariah

Certified Inventory Control of Critical Resources

Hult, Ludvig; Zachariah, Dave; Stoica, Peter

Ingår i Operations Research Letters, 2026

• DOI för Certified Inventory Control of Critical Resources
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Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study

Laurell, Karl; Gustafsson, Stefan; Lampa, Erik; Zachariah, Dave et al.

Ingår i eClinicalMedicine, 2026

• DOI för Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study
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Target tracking using robust sensor motion control

Hu, Jingwei; Zachariah, Dave; Stoica, Peter

Ingår i Signal Processing, 2026

• DOI för Target tracking using robust sensor motion control
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Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints

Hu, Jingwei; Zachariah, Dave; Wigren, Torbjörn; Stoica, Peter

Ingår i IEEE Signal Processing Letters, s. 151-155, 2026

• DOI för Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
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Predicting allergy and postpartum depression from an incomplete compositional microbiome

Shternshis, Andrey; Tong, Bangzhuo; Skalkidou, Alkistis; Wählby, Carolina et al.

Ingår i BMC Genomics, 2025

• DOI för Predicting allergy and postpartum depression from an incomplete compositional microbiome
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Certified Inventory Control of Critical Resources

Hult, Ludvig; Zachariah, Dave; Stoica, Peter

Ingår i Operations Research Letters, 2026

• DOI för Certified Inventory Control of Critical Resources
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Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study

Laurell, Karl; Gustafsson, Stefan; Lampa, Erik; Zachariah, Dave et al.

Ingår i eClinicalMedicine, 2026

• DOI för Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study
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Target tracking using robust sensor motion control

Hu, Jingwei; Zachariah, Dave; Stoica, Peter

Ingår i Signal Processing, 2026

• DOI för Target tracking using robust sensor motion control
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Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints

Hu, Jingwei; Zachariah, Dave; Wigren, Torbjörn; Stoica, Peter

Ingår i IEEE Signal Processing Letters, s. 151-155, 2026

• DOI för Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
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Predicting allergy and postpartum depression from an incomplete compositional microbiome

Shternshis, Andrey; Tong, Bangzhuo; Skalkidou, Alkistis; Wählby, Carolina et al.

Ingår i BMC Genomics, 2025

• DOI för Predicting allergy and postpartum depression from an incomplete compositional microbiome
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Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization

Horta Ribeiro, Antônio; Vävinggren, David; Zachariah, Dave; Schön, Thomas B. et al.

Ingår i Advances Neural Information Processing Systems, 2025

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Lysenkova, Mariya; Zachariah, Dave; Krali, Olga; Nordlund, Jessica

Ingår i JCO Clinical Cancer Informatics, 2025

• DOI för Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction
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Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury

Galos, Peter; Hult, Ludvig; Zachariah, Dave; Lewén, Anders et al.

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

Osama, Muhammad; Zachariah, Dave; Stoica, Peter; Schön, Thomas B.

Ingår i Transactions on Machine Learning Research, 2023

Off-Policy Evaluation with Out-of-Sample Guarantees

Ek, Sofia; Zachariah, Dave; Johansson, Fredrik D.; Stoica, Petre

Ingår i Transactions on Machine Learning Research, 2023

Diagnostic Tool for Out-of-Sample Model Evaluation

Hult, Ludvig; Zachariah, Dave; Stoica, Peter

Ingår i Transactions on Machine Learning Research, 2023

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

Wang, Zengkun; Stoica, Peter; Zachariah, Dave; Babu, Prabhu et al.

Ingår i IEEE Transactions on Instrumentation and Measurement, 2023

• DOI för 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]

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Ingår i IEEE signal processing magazine (Print), s. 39-75, 2023

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

Regularized Linear Regression via Covariance Fitting

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Ingår i IEEE Transactions on Signal Processing, s. 1175-1183, 2023

• DOI för Regularized Linear Regression via Covariance Fitting

A shift from the problematic of "transformation"

Cockshott, Paul; Zachariah, Dave

Ingår i WORLD REVIEW OF POLITICAL ECONOMY, s. 463-471, 2022

• DOI för A shift from the problematic of "transformation"
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Robust localization in wireless networks from corrupted signals

Osama, Muhammad; Zachariah, Dave; Dwivedi, Satyam; Stoica, Petre

Ingår i EURASIP Journal on Advances in Signal Processing, 2021

• DOI för Robust localization in wireless networks from corrupted signals
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Scalable Belief Updating for Urban Air Quality Modeling and Prediction

Liu, Xiuming; Ngai, Edith; Zachariah, Dave

Ingår i ACM/IMS Transactions on Data Science, s. 1-19, 2021

• DOI för Scalable Belief Updating for Urban Air Quality Modeling and Prediction
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Robust Risk Minimization for Statistical Learning From Corrupted Data

Osama, Muhammad; Zachariah, Dave; Stoica, Petre

Ingår i IEEE Open Journal of Signal Processing, s. 287-294, 2020

• DOI för Robust Risk Minimization for Statistical Learning From Corrupted Data
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Robust Prediction When Features are Missing

Liu, Xiuming; Zachariah, Dave; Stoica, Petre

Ingår i IEEE Signal Processing Letters, s. 720-724, 2020

• DOI för Robust Prediction When Features are Missing

Classical labor values: properties of economic reproduction

Zachariah, David; Cockshott, Paul

Ingår i World Review of Political Economy, s. 388-414, 2020

• DOI för Classical labor values: properties of economic reproduction

Data Consistency Approach to Model Validation

Lindholm, Andreas; Zachariah, Dave; Stoica, Peter; Schön, Thomas B.

Ingår i IEEE Access, s. 59788-59796, 2019

• DOI för Data Consistency Approach to Model Validation
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Effect Inference From Two-Group Data With Sampling Bias

Zachariah, Dave; Stoica, Petre

Ingår i IEEE Signal Processing Letters, s. 1103-1106, 2019

• DOI för Effect Inference From Two-Group Data With Sampling Bias

Learning sparse graphs for prediction of multivariate data processes

Venkitaraman, Arun; Zachariah, Dave

Ingår i IEEE Signal Processing Letters, s. 495-499, 2019

• DOI för Learning sparse graphs for prediction of multivariate data processes

Identification of cascade water tanks using a PWARX model

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Ingår i Mechanical systems and signal processing, s. 40-48, 2018

• DOI för Identification of cascade water tanks using a PWARX model

Recursive nonlinear-system identification using latent variables

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Ingår i Automatica, s. 343-351, 2018

• DOI för Recursive nonlinear-system identification using latent variables

Comparison of two hyperparameter-free sparse signal processing methods for direction-of-arrival tracking in the HF97 ocean acoustic experiment

Das, Anup; Zachariah, Dave; Stoica, Peter

Ingår i IEEE Journal of Oceanic Engineering, s. 725-734, 2018

• DOI för Comparison of two hyperparameter-free sparse signal processing methods for direction-of-arrival tracking in the HF97 ocean acoustic experiment

Comments on “Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis”

Zachariah, Dave; Stoica, Petre; Jansson, Magnus

Ingår i IEEE Transactions on Signal Processing, s. 6113-6114, 2017

• DOI för Comments on “Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis”

Scalable and Passive Wireless Network Clock Synchronization in LOS Environments

Zachariah, Dave; Dwivedi, Satyam; Handel, Peter; Stoica, Peter

Ingår i IEEE Transactions on Wireless Communications, s. 3536-3546, 2017

• DOI för Scalable and Passive Wireless Network Clock Synchronization in LOS Environments

A multicomponent T₂ relaxometry algorithm for myelin water imaging of the brain

Björk, Marcus; Zachariah, Dave; Kullberg, Joel; Stoica, Peter

Ingår i Magnetic Resonance in Medicine, s. 390-402, 2016

• DOI för A multicomponent T₂ relaxometry algorithm for myelin water imaging of the brain

Recursive identification method for piecewise ARX models: A sparse estimation approach

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Ingår i IEEE Transactions on Signal Processing, s. 5082-5093, 2016

• DOI för Recursive identification method for piecewise ARX models: A sparse estimation approach

Online hyperparameter-free sparse estimation method

Zachariah, Dave; Stoica, Peter

Ingår i IEEE Transactions on Signal Processing, s. 3348-3359, 2015

• DOI för Online hyperparameter-free sparse estimation method

Cramér–Rao bound analog of Bayes' rule

Zachariah, Dave; Stoica, Peter

Ingår i IEEE signal processing magazine (Print), s. 164-168, 2015

• DOI för Cramér–Rao bound analog of Bayes' rule

Joint ranging and clock parameter estimation by wireless round trip time measurements

Dwivedi, Satyam; De Angelis, Alessio; Zachariah, Dave; Händel, Peter

Ingår i IEEE Journal on Selected Areas in Communications, s. 2379-2390, 2015

• DOI för Joint ranging and clock parameter estimation by wireless round trip time measurements

Schedule-based sequential localization in asynchronous wireless networks

Zachariah, Dave; De Angelis, Alessio; Dwivedi, Satyam; Händel, Peter

Ingår i EURASIP Journal on Advances in Signal Processing, 2014

• DOI för Schedule-based sequential localization in asynchronous wireless networks

Estimation for the linear model with uncertain covariance matrices

Zachariah, Dave; Shariati, Nafiseh; Bengtsson, Mats; Jansson, Magnus et al.

Ingår i IEEE Transactions on Signal Processing, s. 1525-1535, 2014

• DOI för Estimation for the linear model with uncertain covariance matrices

Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging

Nilsson, John-Olof; Zachariah, Dave; Skog, Isaac; Händel, Peter

Ingår i EURASIP Journal on Advances in Signal Processing, 2013

• DOI för Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging

Weighted SPICE: A unifying approach for hyperparameter-free sparse estimation

Stoica, Peter; Zachariah, Dave; Li, Jian

Ingår i Digital signal processing (Print), s. 1-12, 2014

• DOI för Weighted SPICE: A unifying approach for hyperparameter-free sparse estimation

Detecting feedback-path delay injection attacks using interacting multiple model filtering

Eriksson, Lovisa; Wigren, Torbjörn; Zachariah, Dave; Teixeira, André

2025

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Efficient Optimization Algorithms for Linear Adversarial Training

Horta Ribeiro, Antônio; Schön, Thomas B.; Zachariah, Dave; Bach, Francis

Ingår i International Conference on Artificial Intelligence and Statistics, s. 1207-1215, 2025

Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data

Ek, Sofia; Zachariah, Dave

Ingår i ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024), s. 69787-69813, 2024

• DOI för Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data

Safe Output Feedback Improvement with Baselines

Zhang, Ruoqi; Mattsson, Per; Zachariah, Dave

Ingår i 2024 IEEE 63rd Conference on Decision and Control (CDC), s. 1899-1904, 2024

• DOI för Safe Output Feedback Improvement with Baselines
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Adaptive Robust Learning using Latent Bernoulli Variables

Karakulev, Aleksandr; Zachariah, Dave; Singh, Prashant

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

Brunacci, Valerio; De Angelis, Alessio; Zachariah, Dave

Ingår i 2024 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2024, s. 1-5, 2024

• DOI för Experimental Characterization of a Robust Localization Method Based on UWB Ranging

Regularization properties of adversarially-trained linear regression

Horta Ribeiro, Antônio; Zachariah, Dave; Bach, Francis; Schön, Thomas B.

Ingår i Advances in Neural Information Processing Systems 36 (NeurIPS 2023), s. 23658-23670, 2023

• DOI för Regularization properties of adversarially-trained linear regression

Learning Pareto-Efficient Decisions with Confidence

Ek, Sofia; Zachariah, Dave; Stoica, Peter

Ingår i International Conference on Artificial Intelligence and Statistics, s. 9969-9981, 2022

Inference of Causal Effects when Control Variables are Unknown

Hult, Ludvig; Zachariah, Dave

Ingår i Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, PMLR, s. 1300-1309, 2021

Advanced Processing of a Blade Vibratory Response Obtained With Tip Timing Method Using Hyperparameter-Free Sparse Estimation Method

Kharyton, Vsevolod; Zachariah, Dave

Ingår i ASME Turbo Expo 2021, 2021

• DOI för Advanced Processing of a Blade Vibratory Response Obtained With Tip Timing Method Using Hyperparameter-Free Sparse Estimation Method

Learning Robust Decision Policies from Observational Data

Osama, Muhammad; Zachariah, Dave; Stoica, Petre

Ingår i Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020

Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood

Liu, Xiuming; Zachariah, Dave; Ngai, Edith

Ingår i 30th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2020, Espoo, Finland, September 21-24, 2020, s. 1-6, 2020

• DOI för Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood

A latent variable approach to heat load prediction in thermal grids

Simonsson, Johan; Atta, Khalid Tourkey; Zachariah, Dave; Birk, Wolfgang

Ingår i 2020 European Control Conference (ECC), s. 344-349, 2020

• DOI för A latent variable approach to heat load prediction in thermal grids

Flexible Models for Smart Maintenance

Mattsson, Per; Zachariah, Dave; Bjorsell, Niclas

Ingår i 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), s. 1772-1777, 2019

Calibration tests in multi-class classification: A unifying framework

Widmann, David; Lindsten, Fredrik; Zachariah, Dave

Ingår i ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019

Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding

Osama, Muhammad; Zachariah, Dave; Schön, Thomas B.

Ingår i Proceedings of the 36th International Conference on Machine Learning, s. 4942-4950, 2019

Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees

Osama, Muhammad; Zachariah, Dave; Stoica, Peter

Ingår i ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019

Learning localized spatio-temporal models from streaming data

Osama, Muhammad; Zachariah, Dave; Schön, Thomas

Ingår i Proceedings of the 35th International Conference on Machine Learning, s. 3927-3935, 2018

Regularized parametric system identification: a decision-theoretic formulation

Wågberg, Johan; Zachariah, Dave; Schön, Thomas B.

Ingår i 2018 Annual American Control Conference (ACC), s. 1895-1900, 2018

• DOI för Regularized parametric system identification: a decision-theoretic formulation

Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors

Olsson, Fredrik; Halvorsen, Kjartan; Zachariah, Dave; Mattsson, Per

s. 473-478, 2018

• DOI för 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

Svensson, Andreas; Zachariah, Dave; Schön, Thomas B.

s. 407-412, 2018

• DOI för How consistent is my model with the data?: Information-theoretic model check

Model-robust counterfactual prediction method

Zachariah, Dave; Stoica, Peter

Ingår i ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action, 2018

Prediction Performance After Learning in Gaussian Process Regression

Wågberg, Johan; Zachariah, Dave; Schön, Thomas B.; Stoica, Peter

Ingår i Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, s. 1264-1272, 2017

• Ladda ner fulltext (pdf) av Prediction Performance After Learning in Gaussian Process Regression

Prediction performance after learning in Gaussian process regression

Wågberg, Johan; Zachariah, Dave; Schön, Thomas B.; Stoica, Peter

Ingår i 25th European Research Network System Identification Workshop, 2016

Recursive nonlinear system identification using latent variables

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Ingår i 25th European Research Network System Identification Workshop, 2016

Online prediction of spatial fields for radio-frequency communication

Zachariah, Dave; Jaldén, Niklas; Stoica, Peter

Ingår i Proc. 24th European Signal Processing Conference, s. 1252-1256, 2016

• DOI för Online prediction of spatial fields for radio-frequency communication

Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics

Stoica, Peter; Tang, Gongguo; Yang, Zai; Zachariah, Dave

Ingår i Proc. 22nd European Signal Processing Conference, 2014

Minimum sidelobe beampattern design for MIMO radar systems: A robust approach

Shariati, Nafiseh; Zachariah, Dave; Bengtsson, Mats

Ingår i Proc. 39th International Conference on Acoustics, Speech, and Signal Processing, s. 5312-5316, 2014

• DOI för Minimum sidelobe beampattern design for MIMO radar systems: A robust approach

Enhanced Capon beamformer using regularized covariance matching

Zachariah, Dave; Jansson, Magnus; Chatterjee, Saikat

Ingår i Proc. 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, s. 97-100, 2013

• DOI för Enhanced Capon beamformer using regularized covariance matching

Composite Gaussian Processes: Scalable Computation and Performance Analysis

Liu, Xiuming; Zachariah, Dave; Ngai, Edith

Scalable Belief Updating forUrban Air Quality Modeling and Prediction

Liu, Xiuming; Zachariah, Dave; Ngai, Edith

Semi-Supervised Learning of Classierswhen Labels are Missing at Random

Liu, Xiuming; Zachariah, Dave; Stoica, Petre

Robust learning in heterogeneous contexts

Osama, Muhammad; Zachariah, Dave; Stoica, Petre

Calibration tests beyond classification

Widmann, David; Lindsten, Fredrik; Zachariah, Dave

CalibrationAnalysis.jl: Calibration analysis of probabilistic models in Julia

Widmann, David; Zachariah, Dave; Lindsten, Fredrik

Challenges in CATE estimation for NCCU data

Hult, Ludvig; Galos, Peter; Enblad, Per; Zachariah, Dave

Learning Treatment Allocations with Risk Control Under Partial Identifiability

Ek, Sofia; Zachariah, Dave

Learning Robust Decision Policies with Missing Covariates

Ek, Sofia; Zachariah, Dave