Thomas Schön
10 papers · 2012–2023 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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Keyword Collector
(50)
Venues
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Research topics
Machine Learning
(10)
Optimization & Theory
(8)
Artificial Intelligence
(5)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Core Methods
(5)
Mathematics & Optimization
(3)
Mathematics
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Methods
(1)
Optimization
(1)
Probability
(1)
Keywords
sequential monte carlo
(3)
state space model
(2)
markov chain monte carlo
(2)
bayesian inference
(2)
gaussian process
(2)
uncertainty quantification
(2)
particle filtering
(2)
ridge regression
(1)
system identification
(1)
model calibration
(1)
sequential learning
(1)
theoretical analysis
(1)
gaussian process regression
(1)
state estimation
(1)
cramér-rao bound
(1)
particle filter
(1)
attractor dynamics
(1)
linear regression
(1)
adversarial training
(1)
bayesian learning
(1)
Papers
Regularization properties of adversarially-trained linear regression
NeurIPS 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
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs
AISTATS 2018
Learning Localized Spatio-Temporal Models From Streaming Data
ICML 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
NeurIPS 2012