John, S. T.

10 publications

ICLR 2025 Identifying Latent State Transitions in Non-Linear Dynamical Systems Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge, S. T. John, Pekka Marttinen

ICMLW 2024 Identifying Latent State Transition in Non-Linear Dynamical Systems Çağlar Hızlı, Çagatay Yildiz, Matthias Bethge, S. T. John, Pekka Marttinen

UAI 2024 Learning Relevant Contextual Variables Within Bayesian Optimization Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski

ICMLW 2023 Beyond Intuition, a Framework for Applying GPs to Real-World Data Kenza Tazi, Jihao Andreas Lin, Ross Viljoen, Alex Gardner, S. T. John, Hong Ge, Richard E Turner

ICML 2023 Causal Modeling of Policy Interventions from Treatment-Outcome Sequences Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen

ICML 2023 Improving Hyperparameter Learning Under Approximate Inference in Gaussian Process Models Rui Li, S. T. John, Arno Solin

NeurIPSW 2023 Learning Relevant Contextual Variables Within Bayesian Optimization Julien Martinelli, Ayush Bharti, Armi Tiihonen, Louis Filstroff, S. T. John, Sabina J. Sloman, Patrick Rinke, Samuel Kaski

ICML 2023 Memory-Based Dual Gaussian Processes for Sequential Learning Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan

NeurIPSW 2022 Joint Point Process Model for Counterfactual Treatment-Outcome Trajectories Under Policy Interventions Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen

NeurIPSW 2022 Targeted Causal Elicitation Nazaal Ibrahim, S. T. John, Zhigao Guo, Samuel Kaski