Mathieu Sinn
5 papers · 2011–2018 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(5)
Mathematics & Optimization
(4)
Optimization & Theory
(4)
Core Methods
(3)
Learning Types
(3)
Mathematics
(3)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Methods
(1)
Optimization
(1)
Probability
(1)
Keywords
maximum likelihood estimation
(2)
linear-chain conditional random fields
(2)
conditional random field
(2)
markov chain
(2)
theoretical analysis
(1)
time series prediction
(1)
maximum likelihood
(1)
hypothesis testing
(1)
time series forecasting
(1)
kernel density estimation
(1)
adaptive filtering
(1)
smoothing functions
(1)
recursive least squares
(1)
electricity load forecasting
(1)
forgetting factor
(1)
conditional markov chains
(1)
mixing properties
(1)
model identifiability
(1)
feature function
(1)
conditional distribution
(1)
Papers
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
AISTATS 2018
Central Limit Theorems for Conditional Markov Chains
AISTATS 2013
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting
NeurIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions
NeurIPS 2012
Asymptotic Theory for Linear-Chain Conditional Random Fields
AISTATS 2011