Dave Zachariah

106 papers A* 10A 4C 5Misc 5Journal 72Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Experiment Design for Nonlinear System Identification With Operational Constraints. IEEE Signal Process. Lett. Jingwei Hu, Dave Zachariah, Torbjörn Wigren, Petre Stoica
2026	J	`jnl`	Anytime-Valid Conformal Risk Control. CoRR Bror Hultberg, Dave Zachariah, Antônio H. Ribeiro
2026	J	`jnl`	Certified inventory control of critical resources. Oper. Res. Lett. Ludvig Hult, Dave Zachariah, Petre Stoica
2026	J	`jnl`	Target tracking using robust sensor motion control. Signal Process. Jingwei Hu, Dave Zachariah, Petre Stoica
2025	J	`jnl`	Adaptive Input Design for Nonlinear System Identification with Operational Constraints. CoRR Jingwei Hu, Dave Zachariah, Torbjörn Wigren, Petre Stoica
2025	J	`jnl`	Closed-Form Input Design for Identification under Output Feedback with Perturbation Constraints. CoRR Jingwei Hu, Dave Zachariah, Torbjörn Wigren, Petre Stoica
2025	A	`conf`	Efficient Optimization Algorithms for Linear Adversarial Training. AISTATS Antônio H. Ribeiro, Thomas B. Schön, Dave Zachariah, Francis Bach
2025	J	`jnl`	Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization. CoRR Antônio H. Ribeiro, David Vävinggren, Dave Zachariah, Thomas B. Schön, Francis R. Bach
2025	J	`jnl`	Learning Treatment Allocations with Risk Control Under Partial Identifiability. CoRR Sofia Ek, Dave Zachariah
2024	A*	`conf`	Adaptive Robust Learning using Latent Bernoulli Variables. ICML Aleksandr Karakulev, Dave Zachariah, Prashant Singh
2024	J	`jnl`	Certified Inventory Control of Critical Resources. CoRR Ludvig Hult, Dave Zachariah, Petre Stoica
2024	—	`conf`	Experimental Characterization of a Robust Localization Method Based on UWB Ranging. I2MTC Valerio Brunacci, Alessio De Angelis, Dave Zachariah
2024	A*	`conf`	Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data. NeurIPS Sofia Ek, Dave Zachariah
2024	—	`conf`	Safe Output Feedback Improvement with Baselines. CDC Ruoqi Zhang, Per Mattsson, Dave Zachariah
2024	J	`jnl`	Safe Output Feedback Improvement with Baselines. CoRR Ruoqi Zhang, Per Mattsson, Dave Zachariah
2023	J	`jnl`	Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables. CoRR Aleksandr Karakulev, Dave Zachariah, Prashant Singh
2023	J	`jnl`	Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]. IEEE Signal Process. Mag. Per Mattsson, Dave Zachariah, Petre Stoica
2023	J	`jnl`	Diagnostic Tool for Out-of-Sample Model Evaluation. Trans. Mach. Learn. Res. Ludvig Hult, Dave Zachariah, Peter Stoica
2023	J	`jnl`	Externally Valid Policy Evaluation Combining Trial and Observational Data. CoRR Sofia Ek, Dave Zachariah
2023	J	`jnl`	Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals. IEEE Trans. Instrum. Meas. Zengkun Wang, Petre Stoica, Dave Zachariah, Prabhu Babu, Zhibo Yang
2023	J	`jnl`	Off-Policy Evaluation with Out-of-Sample Guarantees. Trans. Mach. Learn. Res. Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
2023	J	`jnl`	Offline Policy Evaluation with Out-of-Sample Guarantees. CoRR Sofia Ek, Dave Zachariah
2023	J	`jnl`	Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness. Trans. Mach. Learn. Res. Muhammad Osama, Dave Zachariah, Peter Stoica, Thomas B. Schön
2023	A*	`conf`	Regularization properties of adversarially-trained linear regression. NeurIPS Antônio H. Ribeiro, Dave Zachariah, Francis R. Bach, Thomas B. Schön
2023	J	`jnl`	Regularization properties of adversarially-trained linear regression. CoRR Antônio H. Ribeiro, Dave Zachariah, Francis R. Bach, Thomas B. Schön
2023	J	`jnl`	Regularized Linear Regression via Covariance Fitting. IEEE Trans. Signal Process. Per Mattsson, Dave Zachariah, Petre Stoica
2022	J	`jnl`	Calibration tests beyond classification. CoRR David Widmann, Fredrik Lindsten, Dave Zachariah
2022	J	`jnl`	Diagnostic Tool for Out-of-Sample Model Evaluation. CoRR Ludvig Hult, Dave Zachariah, Petre Stoica
2022	A	`conf`	Learning Pareto-Efficient Decisions with Confidence. AISTATS Sofia Ek, Dave Zachariah, Peter Stoica
2022	J	`jnl`	Surprises in adversarially-trained linear regression. CoRR Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön
2021	A*	`conf`	Calibration tests beyond classification. ICLR David Widmann, Fredrik Lindsten, Dave Zachariah
2021	J	`jnl`	Distributionally Robust Learning in Heterogeneous Contexts. CoRR Muhammad Osama, Dave Zachariah, Petre Stoica
2021	A	`conf`	Inference of causal effects when control variables are unknown. UAI Ludvig Hult, Dave Zachariah
2021	J	`jnl`	Learning Pareto-Efficient Decisions with Confidence. CoRR Sofia Ek, Dave Zachariah, Petre Stoica
2021	J	`jnl`	Robust localization in wireless networks from corrupted signals. EURASIP J. Adv. Signal Process. Muhammad Osama, Dave Zachariah, Satyam Dwivedi, Petre Stoica
2021	J	`jnl`	Scalable Belief Updating for Urban Air Quality Modeling and Prediction. Trans. Data Sci. Xiuming Liu, Edith C. H. Ngai, Dave Zachariah
2020	—	`conf`	A latent variable approach to heat load prediction in thermal grids. ECC Johan Simonsson, Khalid Tourkey Atta, Dave Zachariah, Wolfgang Birk
2020	J	`jnl`	A latent variable approach to heat load prediction in thermal grids. CoRR Johan Simonsson, Khalid Tourkey Atta, Dave Zachariah, Wolfgang Birk
2020	—	`conf`	Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood. MLSP Xiuming Liu, Dave Zachariah, Edith C. H. Ngai
2020	J	`jnl`	Inference of Causal Effects when Adjustment Sets are Unknown. CoRR Ludvig Hult, Dave Zachariah
2020	A*	`conf`	Learning Robust Decision Policies from Observational Data. NeurIPS Muhammad Osama, Dave Zachariah, Peter Stoica
2020	J	`jnl`	Learning Robust Decision Policies from Observational Data. CoRR Muhammad Osama, Dave Zachariah, Peter Stoica
2020	J	`jnl`	Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees. CoRR Muhammad Osama, Dave Zachariah, Petre Stoica
2020	J	`jnl`	Robust Localization in Wireless Networks From Corrupted Signals. CoRR Muhammad Osama, Dave Zachariah, Satyam Dwivedi, Petre Stoica
2020	J	`jnl`	Robust Prediction When Features are Missing. IEEE Signal Process. Lett. Xiuming Liu, Dave Zachariah, Petre Stoica
2019	A*	`conf`	Calibration tests in multi-class classification: A unifying framework. NeurIPS David Widmann, Fredrik Lindsten, Dave Zachariah
2019	J	`jnl`	Calibration tests in multi-class classification: A unifying framework. CoRR David Widmann, Fredrik Lindsten, Dave Zachariah
2019	J	`jnl`	Data Consistency Approach to Model Validation. IEEE Access Andreas Lindholm, Dave Zachariah, Petre Stoica, Thomas B. Schön
2019	J	`jnl`	Effect Inference From Two-Group Data With Sampling Bias. IEEE Signal Process. Lett. Dave Zachariah, Petre Stoica
2019	—	`conf`	Flexible Models for Smart Maintenance. ICIT Per Mattsson, Dave Zachariah, Niclas Björsell
2019	A*	`conf`	Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. ICML Muhammad Osama, Dave Zachariah, Thomas B. Schön
2019	J	`jnl`	Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. CoRR Muhammad Osama, Dave Zachariah, Thomas B. Schön
2019	J	`jnl`	Learning Sparse Graphs for Prediction of Multivariate Data Processes. IEEE Signal Process. Lett. Arun Venkitaraman, Dave Zachariah
2019	A*	`conf`	Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees. NeurIPS Muhammad Osama, Dave Zachariah, Peter Stoica
2019	J	`jnl`	Robust Prediction when Features are Missing. CoRR Xiuming Liu, Dave Zachariah, Petre Stoica
2019	J	`jnl`	Robust Risk Minimization for Statistical Learning. CoRR Muhammad Osama, Dave Zachariah, Peter Stoica
2018	A*	`conf`	Learning Localized Spatio-Temporal Models From Streaming Data. ICML Muhammad Osama, Dave Zachariah, Thomas B. Schön
2018	J	`jnl`	Learning Localized Spatio-Temporal Models From Streaming Data. CoRR Muhammad Osama, Dave Zachariah, Thomas B. Schön
2018	J	`jnl`	Recursive nonlinear-system identification using latent variables. Autom. Per Mattsson, Dave Zachariah, Petre Stoica
2018	C	`conf`	Regularized parametric system identification: a decision-theoretic formulation. ACC Johan Wågberg, Dave Zachariah, Thomas B. Schön
2018	J	`jnl`	Robust Semi-Supervised Learning when Labels are Missing at Random. CoRR Xiuming Liu, Dave Zachariah, Johan Wågberg
2017	J	`jnl`	Comments on "Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis". IEEE Trans. Signal Process. Dave Zachariah, Petre Stoica, Magnus Jansson
2017	J	`jnl`	How consistent is my model with the data? Information-Theoretic Model Check. CoRR Andreas Svensson, Dave Zachariah, Thomas B. Schön
2017	J	`jnl`	Online Learning for Distribution-Free Prediction. CoRR Dave Zachariah, Petre Stoica, Thomas B. Schön
2017	A	`conf`	Prediction Performance After Learning in Gaussian Process Regression. AISTATS Johan Wågberg, Dave Zachariah, Thomas B. Schön, Petre Stoica
2017	J	`jnl`	Regularized parametric system identification: a decision-theoretic formulation. CoRR Johan Wågberg, Dave Zachariah, Thomas B. Schön
2017	J	`jnl`	Scalable and Passive Wireless Network Clock Synchronization in LOS Environments. IEEE Trans. Wirel. Commun. Dave Zachariah, Satyam Dwivedi, Peter Händel, Petre Stoica
2016	—	`conf`	Online prediction of spatial fields for radio-frequency communication. EUSIPCO Dave Zachariah, Niklas Jaldén, Petre Stoica
2016	J	`jnl`	Recursive Identification Method for Piecewise ARX Models: A Sparse Estimation Approach. IEEE Trans. Signal Process. Per Mattsson, Dave Zachariah, Petre Stoica
2016	J	`jnl`	Scalable and Passive Wireless Network Clock Synchronization. CoRR Dave Zachariah, Satyam Dwivedi, Peter Händel, Petre Stoica
2015	J	`jnl`	Cramér-Rao Bound Analog of Bayes' Rule [Lecture Notes]. IEEE Signal Process. Mag. Dave Zachariah, Petre Stoica
2015	J	`jnl`	Joint Ranging and Clock Parameter Estimation by Wireless Round Trip Time Measurements. CoRR Satyam Dwivedi, Alessio De Angelis, Dave Zachariah, Peter Händel
2015	J	`jnl`	Joint Ranging and Clock Parameter Estimation by Wireless Round Trip Time Measurements. IEEE J. Sel. Areas Commun. Satyam Dwivedi, Alessio De Angelis, Dave Zachariah, Peter Handel
2015	J	`jnl`	Online Hyperparameter-Free Sparse Estimation Method. IEEE Trans. Signal Process. Dave Zachariah, Petre Stoica
2015	J	`jnl`	Robust Optimal Power Distribution for Hyperthermia Cancer Treatment. CoRR Nafiseh Shariati, Dave Zachariah, Johan Karlsson, Mats Bengtsson
2014	J	`jnl`	A Measurement Rate-MSE Tradeoff for Compressive Sensing Through Partial Support Recovery. IEEE Trans. Signal Process. Ricardo Blasco-Serrano, Dave Zachariah, Dennis Sundman, Ragnar Thobaben, Mikael Skoglund
2014	J	`jnl`	Estimation for the Linear Model With Uncertain Covariance Matrices. IEEE Trans. Signal Process. Dave Zachariah, Nafiseh Shariati, Mats Bengtsson, Magnus Jansson, Saikat Chatterjee
2014	—	`conf`	Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics. EUSIPCO Petre Stoica, Gongguo Tang, Zai Yang, Dave Zachariah
2014	Misc	`conf`	Minimum sidelobe beampattern design for MIMO radar systems: A robust approach. ICASSP Nafiseh Shariati, Dave Zachariah, Mats Bengtsson
2014	J	`jnl`	Schedule-based sequential localization in asynchronous wireless networks. EURASIP J. Adv. Signal Process. Dave Zachariah, Alessio De Angelis, Satyam Dwivedi, Peter Händel
2014	J	`jnl`	Weighted SPICE: A unifying approach for hyperparameter-free sparse estimation. Digit. Signal Process. Petre Stoica, Dave Zachariah, Jian Li
2013	Misc	`conf`	An achievable measurement rate-MSE tradeoff in compressive sensing through partial support recovery. ICASSP Ricardo Blasco-Serrano, Dave Zachariah, Dennis Sundman, Ragnar Thobaben, Mikael Skoglund
2013	J	`jnl`	Cooperative Decentralized Localization Using Scheduled Wireless Transmissions. IEEE Commun. Lett. Satyam Dwivedi, Dave Zachariah, Alessio De Angelis, Peter Händel
2013	J	`jnl`	Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging CoRR John-Olof Nilsson, Dave Zachariah, Isaac Skog, Peter Händel
2013	J	`jnl`	Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging. EURASIP J. Adv. Signal Process. John-Olof Nilsson, Dave Zachariah, Isaac Skog, Peter Händel
2013	Misc	`conf`	Distributed predictive subspace pursuit. ICASSP Dennis Sundman, Dave Zachariah, Saikat Chatterjee, Mikael Skoglund
2013	—	`conf`	Enhanced Capon beamformer using regularized covariance matching. CAMSAP Dave Zachariah, Magnus Jansson, Saikat Chatterjee
2013	Misc	`conf`	Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure. ICASSP Dave Zachariah, Saikat Chatterjee, Magnus Jansson
2013	J	`jnl`	Line Spectrum Estimation with Probabilistic Priors. CoRR Dave Zachariah, Petter Wirfält, Magnus Jansson, Saikat Chatterjee
2013	J	`jnl`	Line spectrum estimation with probabilistic priors. Signal Process. Dave Zachariah, Petter Wirfält, Magnus Jansson, Saikat Chatterjee
2013	J	`jnl`	Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties CoRR Dave Zachariah, Alessio De Angelis, Satyam Dwivedi, Peter Händel
2013	J	`jnl`	Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties. IEEE Signal Process. Lett. Dave Zachariah, Alessio De Angelis, Satyam Dwivedi, Peter Händel
2013	J	`jnl`	The Linear Model Under Mixed Gaussian Inputs: Designing the Transfer Matrix. IEEE Trans. Signal Process. John T. Flåm, Dave Zachariah, Mikko Vehkaperä, Saikat Chatterjee
2013	J	`jnl`	Utilization of Noise-Only Samples in Array Processing With Prior Knowledge. CoRR Dave Zachariah, Magnus Jansson, Mats Bengtsson
2013	J	`jnl`	Utilization of Noise-Only Samples in Array Processing With Prior Knowledge. IEEE Signal Process. Lett. Dave Zachariah, Magnus Jansson, Mats Bengtsson
2012	C	`conf`	A constraint approach for UWB and PDR fusion. IPIN Francisco Zampella, Alessio De Angelis, Isaac Skog, Dave Zachariah, Antonio Ramón Jiménez
2012	J	`jnl`	Alternating Least-Squares for Low-Rank Matrix Reconstruction. IEEE Signal Process. Lett. Dave Zachariah, Martin Sundin, Magnus Jansson, Saikat Chatterjee
2012	J	`jnl`	Bayesian Estimation With Distance Bounds. IEEE Signal Process. Lett. Dave Zachariah, Isaac Skog, Magnus Jansson, Peter Händel
2012	J	`jnl`	Dynamic Iterative Pursuit. IEEE Trans. Signal Process. Dave Zachariah, Saikat Chatterjee, Magnus Jansson
2012	Misc	`conf`	Dynamic subspace pursuit. ICASSP Dave Zachariah, Saikat Chatterjee, Magnus Jansson
2012	C	`conf`	Fusing the information from two navigation systems using an upper bound on their maximum spatial separation. IPIN Isaac Skog, John-Olof Nilsson, Dave Zachariah, Peter Händel
2012	C	`conf`	Mean square error reduction by precoding of mixed Gaussian input. ISITA John T. Flåm, Mikko Vehkaperä, Dave Zachariah, Efthymios Tsakonas
2011	—	`conf`	Mirror Based IMU-camera and Internal Camera Calibration. RVSP Ghazaleh Panahandeh, Dave Zachariah, Magnus Jansson
2011	A*	`conf`	Self-motion and wind velocity estimation for small-scale UAVs. ICRA Dave Zachariah, Magnus Jansson
2010	C	`conf`	Joint calibration of an inertial measurement unit and coordinate transformation parameters using a monocular camera. IPIN Dave Zachariah, Magnus Jansson
2007	—	`conf`	Interlacing Intraframes in Multiple-Description Video Coding. ICIP (4) Ermin Kozica, Dave Zachariah, W. Bastiaan Kleijn