Dave Zachariah

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 57

Top Topics

Policy Evaluation

Observational Data

Linear Regression

Top Venues

IEEE Trans. Signal Process.

IEEE Signal Process. Lett.

Publications

Valerio Brunacci, Alessio De Angelis, Dave Zachariah
Experimental Characterization of a Robust Localization Method Based on UWB Ranging. I2MTC (2024)
Ludvig Hult, Dave Zachariah, Petre Stoica
Certified Inventory Control of Critical Resources. CoRR (2024)
Sofia Ek, Dave Zachariah
Externally Valid Policy Evaluation Combining Trial and Observational Data. CoRR (2023)
Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön
Regularization properties of adversarially-trained linear regression. NeurIPS (2023)
Zengkun Wang, Petre Stoica, Dave Zachariah, Prabhu Babu, Zhibo Yang
Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals. IEEE Trans. Instrum. Meas. 72 (2023)
Ludvig Hult, Dave Zachariah, Peter Stoica
Diagnostic Tool for Out-of-Sample Model Evaluation. Trans. Mach. Learn. Res. 2023 (2023)
Muhammad Osama, Dave Zachariah, Peter Stoica, Thomas B. Schön
Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness. Trans. Mach. Learn. Res. 2023 (2023)
Aleksandr Karakulev, Dave Zachariah, Prashant Singh
Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables. CoRR (2023)
Per Mattsson, Dave Zachariah, Petre Stoica
Regularized Linear Regression via Covariance Fitting. IEEE Trans. Signal Process. 71 (2023)
Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön
Regularization properties of adversarially-trained linear regression. CoRR (2023)
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
Off-Policy Evaluation with Out-of-Sample Guarantees. Trans. Mach. Learn. Res. 2023 (2023)
Sofia Ek, Dave Zachariah
Offline Policy Evaluation with Out-of-Sample Guarantees. CoRR (2023)
Per Mattsson, Dave Zachariah, Petre Stoica
Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]. IEEE Signal Process. Mag. 40 (3) (2023)
Ludvig Hult, Dave Zachariah, Petre Stoica
Diagnostic Tool for Out-of-Sample Model Evaluation. CoRR (2022)
David Widmann, Fredrik Lindsten, Dave Zachariah
Calibration tests beyond classification. CoRR (2022)
Sofia Ek, Dave Zachariah, Peter Stoica
Learning Pareto-Efficient Decisions with Confidence. AISTATS (2022)
Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön
Surprises in adversarially-trained linear regression. CoRR (2022)
Muhammad Osama, Dave Zachariah, Petre Stoica
Distributionally Robust Learning in Heterogeneous Contexts. CoRR (2021)
Sofia Ek, Dave Zachariah, Petre Stoica
Learning Pareto-Efficient Decisions with Confidence. CoRR (2021)
Xiuming Liu, Edith C. H. Ngai, Dave Zachariah
Scalable Belief Updating for Urban Air Quality Modeling and Prediction. Trans. Data Sci. 2 (1) (2021)
Muhammad Osama, Dave Zachariah, Satyam Dwivedi, Petre Stoica
Robust localization in wireless networks from corrupted signals. EURASIP J. Adv. Signal Process. 2021 (1) (2021)
Ludvig Hult, Dave Zachariah
Inference of causal effects when control variables are unknown. UAI (2021)
David Widmann, Fredrik Lindsten, Dave Zachariah
Calibration tests beyond classification. ICLR (2021)
Xiuming Liu, Dave Zachariah, Edith C. H. Ngai
Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood. MLSP (2020)
Xiuming Liu, Dave Zachariah, Petre Stoica
Robust Prediction When Features are Missing. IEEE Signal Process. Lett. 27 (2020)
Johan Simonsson, Khalid Tourkey Atta, Dave Zachariah, Wolfgang Birk
A latent variable approach to heat load prediction in thermal grids. CoRR (2020)
Muhammad Osama, Dave Zachariah, Peter Stoica
Learning Robust Decision Policies from Observational Data. CoRR (2020)
Muhammad Osama, Dave Zachariah, Satyam Dwivedi, Petre Stoica
Robust Localization in Wireless Networks From Corrupted Signals. CoRR (2020)
Ludvig Hult, Dave Zachariah
Inference of Causal Effects when Adjustment Sets are Unknown. CoRR (2020)
Muhammad Osama, Dave Zachariah, Peter Stoica
Learning Robust Decision Policies from Observational Data. NeurIPS (2020)
Johan Simonsson, Khalid Tourkey Atta, Dave Zachariah, Wolfgang Birk
A latent variable approach to heat load prediction in thermal grids. ECC (2020)
Muhammad Osama, Dave Zachariah, Petre Stoica
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees. CoRR (2020)
David Widmann, Fredrik Lindsten, Dave Zachariah
Calibration tests in multi-class classification: A unifying framework. CoRR (2019)
Muhammad Osama, Dave Zachariah, Peter Stoica
Robust Risk Minimization for Statistical Learning. CoRR (2019)
Muhammad Osama, Dave Zachariah, Thomas B. Schön
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. CoRR (2019)
Andreas Lindholm, Dave Zachariah, Petre Stoica, Thomas B. Schön
Data Consistency Approach to Model Validation. IEEE Access 7 (2019)
Dave Zachariah, Petre Stoica
Effect Inference From Two-Group Data With Sampling Bias. IEEE Signal Process. Lett. 26 (8) (2019)
Muhammad Osama, Dave Zachariah, Thomas B. Schön
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. ICML (2019)
David Widmann, Fredrik Lindsten, Dave Zachariah
Calibration tests in multi-class classification: A unifying framework. NeurIPS (2019)
Muhammad Osama, Dave Zachariah, Peter Stoica
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees. NeurIPS (2019)
Xiuming Liu, Dave Zachariah, Petre Stoica
Robust Prediction when Features are Missing. CoRR (2019)
Per Mattsson, Dave Zachariah, Niclas Björsell
Flexible Models for Smart Maintenance. ICIT (2019)
Arun Venkitaraman, Dave Zachariah
Learning Sparse Graphs for Prediction of Multivariate Data Processes. IEEE Signal Process. Lett. 26 (3) (2019)
Muhammad Osama, Dave Zachariah, Thomas B. Schön
Learning Localized Spatio-Temporal Models From Streaming Data. CoRR (2018)
Xiuming Liu, Dave Zachariah, Johan Wågberg
Robust Semi-Supervised Learning when Labels are Missing at Random. CoRR (2018)
Johan Wågberg, Dave Zachariah, Thomas B. Schön
Regularized parametric system identification: a decision-theoretic formulation. ACC (2018)
Muhammad Osama, Dave Zachariah, Thomas B. Schön
Learning Localized Spatio-Temporal Models From Streaming Data. ICML (2018)
Per Mattsson, Dave Zachariah, Petre Stoica
Recursive nonlinear-system identification using latent variables. Autom. 93 (2018)
Dave Zachariah, Petre Stoica, Magnus Jansson
Comments on "Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis". IEEE Trans. Signal Process. 65 (22) (2017)
Dave Zachariah, Satyam Dwivedi, Peter Händel, Petre Stoica
Scalable and Passive Wireless Network Clock Synchronization in LOS Environments. IEEE Trans. Wirel. Commun. 16 (6) (2017)
Dave Zachariah, Petre Stoica, Thomas B. Schön
Online Learning for Distribution-Free Prediction. CoRR (2017)
Johan Wågberg, Dave Zachariah, Thomas B. Schön
Regularized parametric system identification: a decision-theoretic formulation. CoRR (2017)
Johan Wågberg, Dave Zachariah, Thomas B. Schön, Petre Stoica
Prediction Performance After Learning in Gaussian Process Regression. AISTATS (2017)
Andreas Svensson, Dave Zachariah, Thomas B. Schön
How consistent is my model with the data? Information-Theoretic Model Check. CoRR (2017)
Dave Zachariah, Niklas Jalden, Petre Stoica
Online prediction of spatial fields for radio-frequency communication. EUSIPCO (2016)
Per Mattsson, Dave Zachariah, Petre Stoica
Recursive Identification Method for Piecewise ARX Models: A Sparse Estimation Approach. IEEE Trans. Signal Process. 64 (19) (2016)
Dave Zachariah, Satyam Dwivedi, Peter Händel, Petre Stoica
Scalable and Passive Wireless Network Clock Synchronization. CoRR (2016)
Satyam Dwivedi, Alessio De Angelis, Dave Zachariah, Peter Handel
Joint Ranging and Clock Parameter Estimation by Wireless Round Trip Time Measurements. IEEE J. Sel. Areas Commun. 33 (11) (2015)
Dave Zachariah, Petre Stoica
Cramér-Rao Bound Analog of Bayes' Rule [Lecture Notes]. IEEE Signal Process. Mag. 32 (2) (2015)
Dave Zachariah, Petre Stoica
Online Hyperparameter-Free Sparse Estimation Method. IEEE Trans. Signal Process. 63 (13) (2015)
Nafiseh Shariati, Dave Zachariah, Johan Karlsson, Mats Bengtsson
Robust Optimal Power Distribution for Hyperthermia Cancer Treatment. CoRR (2015)
Satyam Dwivedi, Alessio De Angelis, Dave Zachariah, Peter Händel
Joint Ranging and Clock Parameter Estimation by Wireless Round Trip Time Measurements. CoRR (2015)
Petre Stoica, Dave Zachariah, Jian Li
Weighted SPICE: A unifying approach for hyperparameter-free sparse estimation. Digit. Signal Process. 33 (2014)
Petre Stoica, Gongguo Tang, Zai Yang, Dave Zachariah
Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics. EUSIPCO (2014)
Dave Zachariah, Alessio De Angelis, Satyam Dwivedi, Peter Händel
Schedule-based sequential localization in asynchronous wireless networks. EURASIP J. Adv. Signal Process. 2014 (2014)
Ricardo Blasco-Serrano, Dave Zachariah, Dennis Sundman, Ragnar Thobaben, Mikael Skoglund
A Measurement Rate-MSE Tradeoff for Compressive Sensing Through Partial Support Recovery. IEEE Trans. Signal Process. 62 (18) (2014)
Dave Zachariah, Nafiseh Shariati, Mats Bengtsson, Magnus Jansson, Saikat Chatterjee
Estimation for the Linear Model With Uncertain Covariance Matrices. IEEE Trans. Signal Process. 62 (6) (2014)
Nafiseh Shariati, Dave Zachariah, Mats Bengtsson
Minimum sidelobe beampattern design for MIMO radar systems: A robust approach. ICASSP (2014)
Dave Zachariah, Alessio De Angelis, Satyam Dwivedi, Peter Händel
Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties CoRR (2013)
Dave Zachariah, Petter Wirfält, Magnus Jansson, Saikat Chatterjee
Line Spectrum Estimation with Probabilistic Priors. CoRR (2013)
Dave Zachariah, Petter Wirfält, Magnus Jansson, Saikat Chatterjee
Line spectrum estimation with probabilistic priors. Signal Process. 93 (11) (2013)
Ricardo Blasco-Serrano, Dave Zachariah, Dennis Sundman, Ragnar Thobaben, Mikael Skoglund
An achievable measurement rate-MSE tradeoff in compressive sensing through partial support recovery. ICASSP (2013)
Dave Zachariah, Magnus Jansson, Saikat Chatterjee
Enhanced Capon beamformer using regularized covariance matching. CAMSAP (2013)
Dave Zachariah, Alessio De Angelis, Satyam Dwivedi, Peter Händel
Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties. IEEE Signal Process. Lett. 20 (6) (2013)
John-Olof Nilsson, Dave Zachariah, Isaac Skog, Peter Händel
Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging CoRR (2013)
Satyam Dwivedi, Dave Zachariah, Alessio De Angelis, Peter Händel
Cooperative Decentralized Localization Using Scheduled Wireless Transmissions. IEEE Commun. Lett. 17 (6) (2013)
Dave Zachariah, Saikat Chatterjee, Magnus Jansson
Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure. ICASSP (2013)
Dave Zachariah, Magnus Jansson, Mats Bengtsson
Utilization of Noise-Only Samples in Array Processing With Prior Knowledge. CoRR (2013)
Dave Zachariah, Magnus Jansson, Mats Bengtsson
Utilization of Noise-Only Samples in Array Processing With Prior Knowledge. IEEE Signal Process. Lett. 20 (9) (2013)
John-Olof Nilsson, Dave Zachariah, Isaac Skog, Peter Händel
Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging. EURASIP J. Adv. Signal Process. 2013 (2013)
John T. Flåm, Dave Zachariah, Mikko Vehkaperä, Saikat Chatterjee
The Linear Model Under Mixed Gaussian Inputs: Designing the Transfer Matrix. IEEE Trans. Signal Process. 61 (21) (2013)
Dennis Sundman, Dave Zachariah, Saikat Chatterjee, Mikael Skoglund
Distributed predictive subspace pursuit. ICASSP (2013)
Francisco Zampella, Alessio De Angelis, Isaac Skog, Dave Zachariah, Antonio Ramón Jiménez
A constraint approach for UWB and PDR fusion. IPIN (2012)
Isaac Skog, John-Olof Nilsson, Dave Zachariah, Peter Händel
Fusing the information from two navigation systems using an upper bound on their maximum spatial separation. IPIN (2012)
Dave Zachariah, Martin Sundin, Magnus Jansson, Saikat Chatterjee
Alternating Least-Squares for Low-Rank Matrix Reconstruction. IEEE Signal Process. Lett. 19 (4) (2012)
Dave Zachariah, Saikat Chatterjee, Magnus Jansson
Dynamic subspace pursuit. ICASSP (2012)
Dave Zachariah, Saikat Chatterjee, Magnus Jansson
Dynamic Iterative Pursuit. IEEE Trans. Signal Process. 60 (9) (2012)
Dave Zachariah, Isaac Skog, Magnus Jansson, Peter Händel
Bayesian Estimation With Distance Bounds. IEEE Signal Process. Lett. 19 (12) (2012)
John T. Flåm, Mikko Vehkaperä, Dave Zachariah, Efthymios Tsakonas
Mean square error reduction by precoding of mixed Gaussian input. ISITA (2012)
Dave Zachariah, Magnus Jansson
Self-motion and wind velocity estimation for small-scale UAVs. ICRA (2011)
Ghazaleh Panahandeh, Dave Zachariah, Magnus Jansson
Mirror Based IMU-camera and Internal Camera Calibration. RVSP (2011)
Dave Zachariah, Magnus Jansson
Joint calibration of an inertial measurement unit and coordinate transformation parameters using a monocular camera. IPIN (2010)
Ermin Kozica, Dave Zachariah, W. Bastiaan Kleijn
Interlacing Intraframes in Multiple-Description Video Coding. ICIP (4) (2007)