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ml:ml_glossary [2021/10/29 11:49] – created jmflanigml:ml_glossary [2023/06/15 07:36] (current) – external edit 127.0.0.1
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 Glossary of machine learning terms and their definitions.  This aims to be a list of terms found at conferences like NeurIPS (see for example the list of [[https://papers.nips.cc/paper/2020|2020 papers]]). Glossary of machine learning terms and their definitions.  This aims to be a list of terms found at conferences like NeurIPS (see for example the list of [[https://papers.nips.cc/paper/2020|2020 papers]]).
  
-  * Bandits+  * Bandit 
 +  * [[https://arxiv.org/pdf/1808.06670.pdf|Deep InfoMax]] 
 +  * Covariate Shift 
 +  * Determinantal Point Process 
 +  * Distribution Shift 
 +  * Gaussian Process 
 +  * Lottery Ticket Hypothesis
   * Multi-Armed Bandit   * Multi-Armed Bandit
   * Off-policy   * Off-policy
 +  * Self-supervised
 +  * Self-training
 +  * Sinkhorn Divergence
 +  * Submodular
 +  * Universal Approximation Theorem
 +  * Variational Autoencoder
 +
 +===== Related Pages =====
 +  * [[ml_overview|Overview of ML]]
 +
ml/ml_glossary.1635508183.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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