Zachariah, Dave

17 publications

AISTATS 2025 Efficient Optimization Algorithms for Linear Adversarial Training Antonio H. Ribeiro, Thomas B. Schön, Dave Zachariah, Francis Bach

NeurIPS 2025 Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization Antonio H. Ribeiro, David Vävinggren, Dave Zachariah, Thomas B. Schön, Francis Bach

ICML 2024 Adaptive Robust Learning Using Latent Bernoulli Variables Aleksandr Karakulev, Dave Zachariah, Prashant Singh

NeurIPS 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data Sofia Ek, Dave Zachariah

TMLR 2023 Diagnostic Tool for Out-of-Sample Model Evaluation Ludvig Hult, Dave Zachariah, Peter Stoica

TMLR 2023 Off-Policy Evaluation with Out-of-Sample Guarantees Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica

TMLR 2023 Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness Muhammad Osama, Dave Zachariah, Peter Stoica, Thomas B. Schön

NeurIPS 2023 Regularization Properties of Adversarially-Trained Linear Regression Antonio Ribeiro, Dave Zachariah, Francis R. Bach, Thomas Schön

AISTATS 2022 Learning Pareto-Efficient Decisions with Confidence Sofia Ek, Dave Zachariah, Peter Stoica

ICLR 2021 Calibration Tests Beyond Classification David Widmann, Fredrik Lindsten, Dave Zachariah

UAI 2021 Inference of Causal Effects When Control Variables Are Unknown Ludvig Hult, Dave Zachariah

NeurIPS 2020 Learning Robust Decision Policies from Observational Data Muhammad Osama, Dave Zachariah, Peter Stoica

NeurIPS 2019 Calibration Tests in Multi-Class Classification: A Unifying Framework David Widmann, Fredrik Lindsten, Dave Zachariah

ICML 2019 Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding Muhammad Osama, Dave Zachariah, Thomas B. Schön

NeurIPS 2019 Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees Muhammad Osama, Dave Zachariah, Peter Stoica

ICML 2018 Learning Localized Spatio-Temporal Models from Streaming Data Muhammad Osama, Dave Zachariah, Thomas Schön

AISTATS 2017 Prediction Performance After Learning in Gaussian Process Regression Johan Wågberg, Dave Zachariah, Thomas B. Schön, Petre Stoica