Dave Zachariah

According to our database, Dave Zachariah authored at least 77 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Safe Output Feedback Improvement with Baselines.

Ruoqi Zhang, Per Mattsson, Dave Zachariah

CoRR, 2024

Certified Inventory Control of Critical Resources.

Ludvig Hult, Dave Zachariah, Petre Stoica

CoRR, 2024

Adaptive Robust Learning using Latent Bernoulli Variables.

Aleksandr Karakulev, Dave Zachariah, Prashant Singh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Experimental Characterization of a Robust Localization Method Based on UWB Ranging.

Valerio Brunacci, Alessio De Angelis, Dave Zachariah

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

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

Per Mattsson, Dave Zachariah, Petre Stoica

IEEE Signal Process. Mag., May, 2023

Regularized Linear Regression via Covariance Fitting.

Per Mattsson, Dave Zachariah, Petre Stoica

IEEE Trans. Signal Process., 2023

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

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

Trans. Mach. Learn. Res., 2023

Diagnostic Tool for Out-of-Sample Model Evaluation.

Ludvig Hult, Dave Zachariah, Peter Stoica

Trans. Mach. Learn. Res., 2023

Off-Policy Evaluation with Out-of-Sample Guarantees.

Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica

Trans. Mach. Learn. Res., 2023

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

Zengkun Wang, Petre Stoica, Dave Zachariah, Prabhu Babu, Zhibo Yang

IEEE Trans. Instrum. Meas., 2023

Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables.

Aleksandr Karakulev, Dave Zachariah, Prashant Singh

CoRR, 2023

Externally Valid Policy Evaluation Combining Trial and Observational Data.

Sofia Ek, Dave Zachariah

CoRR, 2023

Offline Policy Evaluation with Out-of-Sample Guarantees.

Sofia Ek, Dave Zachariah

CoRR, 2023

Regularization properties of adversarially-trained linear regression.

Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Surprises in adversarially-trained linear regression.

Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön

CoRR, 2022

Learning Pareto-Efficient Decisions with Confidence.

Sofia Ek, Dave Zachariah, Peter Stoica

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Scalable Belief Updating for Urban Air Quality Modeling and Prediction.

Xiuming Liu, Edith C. H. Ngai, Dave Zachariah

Trans. Data Sci., 2021

Robust localization in wireless networks from corrupted signals.

Muhammad Osama, Dave Zachariah, Satyam Dwivedi, Petre Stoica

EURASIP J. Adv. Signal Process., 2021

Distributionally Robust Learning in Heterogeneous Contexts.

Muhammad Osama, Dave Zachariah, Petre Stoica

CoRR, 2021

Inference of causal effects when control variables are unknown.

Ludvig Hult, Dave Zachariah

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Calibration tests beyond classification.

David Widmann, Fredrik Lindsten, Dave Zachariah

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Robust Prediction When Features are Missing.

Xiuming Liu, Dave Zachariah, Petre Stoica

IEEE Signal Process. Lett., 2020

Inference of Causal Effects when Adjustment Sets are Unknown.

Ludvig Hult, Dave Zachariah

CoRR, 2020

Learning Robust Decision Policies from Observational Data.

Muhammad Osama, Dave Zachariah, Peter Stoica

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood.

Xiuming Liu, Dave Zachariah, Edith C. H. Ngai

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

A latent variable approach to heat load prediction in thermal grids.

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

Proceedings of the 18th European Control Conference, 2020

2019

Effect Inference From Two-Group Data With Sampling Bias.

Dave Zachariah, Petre Stoica

IEEE Signal Process. Lett., 2019

Learning Sparse Graphs for Prediction of Multivariate Data Processes.

Arun Venkitaraman, Dave Zachariah

IEEE Signal Process. Lett., 2019

Robust Risk Minimization for Statistical Learning.

Muhammad Osama, Dave Zachariah, Peter Stoica

CoRR, 2019

Data Consistency Approach to Model Validation.

Andreas Lindholm, Dave Zachariah, Petre Stoica, Thomas B. Schön

IEEE Access, 2019

Calibration tests in multi-class classification: A unifying framework.

David Widmann, Fredrik Lindsten, Dave Zachariah

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Muhammad Osama, Dave Zachariah, Peter Stoica

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding.

Muhammad Osama, Dave Zachariah, Thomas B. Schön

Proceedings of the 36th International Conference on Machine Learning, 2019

Flexible Models for Smart Maintenance.

Per Mattsson, Dave Zachariah, Niclas Björsell

Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018

Robust Semi-Supervised Learning when Labels are Missing at Random.

Xiuming Liu, Dave Zachariah, Johan Wågberg

CoRR, 2018

Recursive nonlinear-system identification using latent variables.

Per Mattsson, Dave Zachariah, Petre Stoica

Autom., 2018

Learning Localized Spatio-Temporal Models From Streaming Data.

Muhammad Osama, Dave Zachariah, Thomas B. Schön

Proceedings of the 35th International Conference on Machine Learning, 2018

Regularized parametric system identification: a decision-theoretic formulation.

Johan Wågberg, Dave Zachariah, Thomas B. Schön

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Scalable and Passive Wireless Network Clock Synchronization in LOS Environments.

Dave Zachariah, Satyam Dwivedi, Peter Händel, Petre Stoica

IEEE Trans. Wirel. Commun., 2017

Comments on "Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis".

Dave Zachariah, Petre Stoica, Magnus Jansson

IEEE Trans. Signal Process., 2017

How consistent is my model with the data? Information-Theoretic Model Check.

Andreas Svensson, Dave Zachariah, Thomas B. Schön

CoRR, 2017

Online Learning for Distribution-Free Prediction.

Dave Zachariah, Petre Stoica, Thomas B. Schön

CoRR, 2017

Prediction Performance After Learning in Gaussian Process Regression.

Johan Wågberg, Dave Zachariah, Thomas B. Schön, Petre Stoica

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Recursive Identification Method for Piecewise ARX Models: A Sparse Estimation Approach.

Per Mattsson, Dave Zachariah, Petre Stoica

IEEE Trans. Signal Process., 2016

Scalable and Passive Wireless Network Clock Synchronization.

Dave Zachariah, Satyam Dwivedi, Peter Händel, Petre Stoica

CoRR, 2016

Online prediction of spatial fields for radio-frequency communication.

Dave Zachariah, Niklas Jalden, Petre Stoica

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Online Hyperparameter-Free Sparse Estimation Method.

Dave Zachariah, Petre Stoica

IEEE Trans. Signal Process., 2015

Cramér-Rao Bound Analog of Bayes' Rule [Lecture Notes].

Dave Zachariah, Petre Stoica

IEEE Signal Process. Mag., 2015

Joint Ranging and Clock Parameter Estimation by Wireless Round Trip Time Measurements.

Satyam Dwivedi, Alessio De Angelis, Dave Zachariah, Peter Handel

IEEE J. Sel. Areas Commun., 2015

Robust Optimal Power Distribution for Hyperthermia Cancer Treatment.

Nafiseh Shariati, Dave Zachariah, Johan Karlsson, Mats Bengtsson

CoRR, 2015

2014

Estimation for the Linear Model With Uncertain Covariance Matrices.

Dave Zachariah, Nafiseh Shariati, Mats Bengtsson, Magnus Jansson, Saikat Chatterjee

IEEE Trans. Signal Process., 2014

A Measurement Rate-MSE Tradeoff for Compressive Sensing Through Partial Support Recovery.

Ricardo Blasco-Serrano, Dave Zachariah, Dennis Sundman, Ragnar Thobaben, Mikael Skoglund

IEEE Trans. Signal Process., 2014

Schedule-based sequential localization in asynchronous wireless networks.

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

EURASIP J. Adv. Signal Process., 2014

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

Petre Stoica, Dave Zachariah, Jian Li

Digit. Signal Process., 2014

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

Nafiseh Shariati, Dave Zachariah, Mats Bengtsson

Proceedings of the IEEE International Conference on Acoustics, 2014

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

Petre Stoica, Gongguo Tang, Zai Yang, Dave Zachariah

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

The Linear Model Under Mixed Gaussian Inputs: Designing the Transfer Matrix.

John T. Flåm, Dave Zachariah, Mikko Vehkaperä, Saikat Chatterjee

IEEE Trans. Signal Process., 2013

Utilization of Noise-Only Samples in Array Processing With Prior Knowledge.

Dave Zachariah, Magnus Jansson, Mats Bengtsson

IEEE Signal Process. Lett., 2013

Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties.

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

IEEE Signal Process. Lett., 2013

Line spectrum estimation with probabilistic priors.

Dave Zachariah, Petter Wirfält, Magnus Jansson, Saikat Chatterjee

Signal Process., 2013

Cooperative Decentralized Localization Using Scheduled Wireless Transmissions.

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

IEEE Commun. Lett., 2013

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

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

EURASIP J. Adv. Signal Process., 2013

Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure.

Dave Zachariah, Saikat Chatterjee, Magnus Jansson

Proceedings of the IEEE International Conference on Acoustics, 2013

Distributed predictive subspace pursuit.

Dennis Sundman, Dave Zachariah, Saikat Chatterjee, Mikael Skoglund

Proceedings of the IEEE International Conference on Acoustics, 2013

An achievable measurement rate-MSE tradeoff in compressive sensing through partial support recovery.

Ricardo Blasco-Serrano, Dave Zachariah, Dennis Sundman, Ragnar Thobaben, Mikael Skoglund

Proceedings of the IEEE International Conference on Acoustics, 2013

Enhanced Capon beamformer using regularized covariance matching.

Dave Zachariah, Magnus Jansson, Saikat Chatterjee

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Dynamic Iterative Pursuit.

Dave Zachariah, Saikat Chatterjee, Magnus Jansson

IEEE Trans. Signal Process., 2012

Bayesian Estimation With Distance Bounds.

Dave Zachariah, Isaac Skog, Magnus Jansson, Peter Händel

IEEE Signal Process. Lett., 2012

Alternating Least-Squares for Low-Rank Matrix Reconstruction.

Dave Zachariah, Martin Sundin, Magnus Jansson, Saikat Chatterjee

IEEE Signal Process. Lett., 2012

Mean square error reduction by precoding of mixed Gaussian input.

John T. Flåm, Mikko Vehkaperä, Dave Zachariah, Efthymios Tsakonas

Proceedings of the International Symposium on Information Theory and its Applications, 2012

A constraint approach for UWB and PDR fusion.

Francisco Zampella, Alessio De Angelis, Isaac Skog, Dave Zachariah, Antonio Ramón Jiménez

Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation, 2012

Fusing the information from two navigation systems using an upper bound on their maximum spatial separation.

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

Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation, 2012

Dynamic subspace pursuit.

Dave Zachariah, Saikat Chatterjee, Magnus Jansson

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Mirror Based IMU-camera and Internal Camera Calibration.

Ghazaleh Panahandeh, Dave Zachariah, Magnus Jansson

Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011

Self-motion and wind velocity estimation for small-scale UAVs.

Dave Zachariah, Magnus Jansson

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Joint calibration of an inertial measurement unit and coordinate transformation parameters using a monocular camera.

Dave Zachariah, Magnus Jansson

Proceedings of the 2010 International Conference on Indoor Positioning and Indoor Navigation, 2010

2007

Interlacing Intraframes in Multiple-Description Video Coding.

Ermin Kozica, Dave Zachariah, W. Bastiaan Kleijn

Proceedings of the International Conference on Image Processing, 2007