Schön, Thomas

7 publications

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

AISTATS 2020 Beyond Exploding and Vanishing Gradients: Analysing RNN Training Using Attractors and Smoothness António H. Ribeiro, Koen Tiels, Luis A. Aguirre, Thomas Schön

AISTATS 2019 Conditionally Independent Multiresolution Gaussian Processes Jalil Taghia, Thomas Schön

AISTATS 2019 Evaluating Model Calibration in Classification Juozas Vaicenavicius, David Widmann, Carl Andersson, Fredrik Lindsten, Jacob Roll, Thomas Schön

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

ICML 2015 Nested Sequential Monte Carlo Methods Christian Naesseth, Fredrik Lindsten, Thomas Schon

NeurIPS 2012 Ancestor Sampling for Particle Gibbs Fredrik Lindsten, Thomas Schön, Michael I. Jordan