Thomas Schön
10 papers · 2012–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (18) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (11)
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Cross-Pollinator
(15)
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Unstoppable
(6)
Conferences
AISTATS (6)
ICML (2)
NIPS (2)
Top co-authors
Keywords
sequential monte carlo
(3)
markov chain monte carlo
(2)
bayesian inference
(2)
uncertainty quantification
(2)
gaussian process
(2)
particle filtering
(2)
ridge regression
(1)
system identification
(1)
model calibration
(1)
sequential learning
(1)
theoretical analysis
(1)
cramér-rao bound
(1)
gaussian process regression
(1)
state estimation
(1)
particle filter
(1)
adversarial training
(1)
attractor dynamics
(1)
linear regression
(1)
bayesian learning
(1)
variational inference
(1)
Papers
Regularization properties of adversarially-trained linear regression
NIPS 2023
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness
AISTATS 2020
Conditionally Independent Multiresolution Gaussian Processes
AISTATS 2019
Evaluating model calibration in classification
AISTATS 2019
Learning Localized Spatio-Temporal Models From Streaming Data
ICML 2018
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs
AISTATS 2018
Prediction Performance After Learning in Gaussian Process Regression
AISTATS 2017
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
AISTATS 2016
Nested Sequential Monte Carlo Methods
ICML 2015
Ancestor Sampling for Particle Gibbs
NIPS 2012