Sinn, Mathieu

7 publications

AISTATS 2018 Non-Parametric Estimation of Jensen-Shannon Divergence in Generative Adversarial Network Training Mathieu Sinn, Ambrish Rawat

AISTATS 2013 Central Limit Theorems for Conditional Markov Chains Mathieu Sinn, Bei Chen

NeurIPS 2012 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey

UAI 2012 Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions Mathieu Sinn, Ali Ghodsi, Karsten Keller

NeurIPS 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions Mathieu Sinn, Bei Chen

AISTATS 2011 Asymptotic Theory for Linear-Chain Conditional Random Fields Mathieu Sinn, Pascal Poupart

UAI 2010 Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker Farheen Omar, Mathieu Sinn, Jakub Truszkowski, Pascal Poupart, James Yungjen Tung, Allen Caine