pith. sign in

Dave Zachariah

Identifiers

  • name variant Dave Zachariah 0.60 · backfill

Papers (30)

  1. Learning plug-in surrogate endpoints for randomized experiments cs.LG · 2026 · author #4
  2. Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding stat.ME · 2019 · author #2
  3. Data Consistency Approach to Model Validation stat.ME · 2018 · author #2
  4. Learning Localized Spatio-Temporal Models From Streaming Data stat.ML · 2018 · author #2
  5. Composite Gaussian Processes: Scalable Computation and Performance Analysis stat.ML · 2018 · author #2
  6. Learning Sparse Graphs for Prediction and Filtering of Multivariate Data Processes stat.ML · 2017 · author #2
  7. How consistent is my model with the data? Information-Theoretic Model Check stat.ML · 2017 · author #2
  8. Regularized parametric system identification: a decision-theoretic formulation cs.SY · 2017 · author #2
  9. Model-Robust Counterfactual Prediction Method math.ST · 2017 · author #1
  10. Leontief Meets Shannon - Measuring the Complexity of the Economic System q-fin.GN · 2017 · author #1
  11. Online Learning for Distribution-Free Prediction cs.LG · 2017 · author #1
  12. PUMA criterion = MODE criterion stat.OT · 2017 · author #1
  13. Pearson information-based lower bound on Fisher information math.ST · 2016 · author #1
  14. Recursive nonlinear-system identification using latent variables stat.ML · 2016 · author #2
  15. Prediction performance after learning in Gaussian process regression stat.ML · 2016 · author #2
  16. Scalable and Passive Wireless Network Clock Synchronization cs.NI · 2016 · author #1
  17. Robust Optimal Power Distribution for Hyperthermia Cancer Treatment cs.IT · 2015 · author #2
  18. Online Hyperparameter-Free Sparse Estimation Method math.ST · 2015 · author #1
  19. Cramer-Rao bound analog of Bayes rule math.ST · 2015 · author #1
  20. Joint Ranging and Clock Parameter Estimation by Wireless Round Trip Time Measurements cs.NI · 2015 · author #3
  21. Weighted SPICE: A Unifying Approach for Hyperparameter-Free Sparse Estimation math.ST · 2014 · author #2
  22. Estimation for the Linear Model with Uncertain Covariance Matrices math.ST · 2014 · author #1
  23. Utilization of Noise-Only Samples in Array Processing With Prior Knowledge math.ST · 2013 · author #1
  24. Line Spectrum Estimation with Probabilistic Priors math.ST · 2013 · author #1
  25. Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties math.ST · 2013 · author #1
  26. Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging cs.RO · 2013 · author #2
  27. The Linear Model under Mixed Gaussian Inputs: Designing the Transfer Matrix math.OC · 2012 · author #2
  28. Bayesian Estimation with Distance Bounds math.ST · 2012 · author #1
  29. Dynamic Iterative Pursuit math.ST · 2012 · author #1
  30. Alternating Least-Squares for Low-Rank Matrix Reconstruction math.ST · 2012 · author #1

Mentions

  • 1210.4381 #2 · backfill · confidence 0.70 Dave Zachariah
  • 1210.3516 #1 · backfill · confidence 0.70 Dave Zachariah
  • 1206.2496 #1 · backfill · confidence 0.70 Dave Zachariah
  • 1206.2493 #1 · backfill · confidence 0.70 Dave Zachariah

Frequent Coauthors