Posts

• Oct 10, 2020 reinforcement-learning  recommender-system  counterfactual-evaluation 

  Top-k Off-Policy Correction for a REINFORCE Recommender System

• Jun 21, 2020 deep-learning 

  Attention Mechanism [3]: Memory Networks

• Jun 17, 2020 deep-learning 

  Attention Mechanism [2]: Transformer and Graph Attention Networks

• Jun 15, 2020 deep-learning 

  Attention Mechanism [1]: Seq2Seq Models

• May 18, 2020 approximate-inference 

  Gibbs Sampling with Data Augmentation for Normal Ogive Item Response Theory

• May 6, 2020 reinforcement-learning 

  Multi-armed Bandits: Thompson Sampling

• Aug 25, 2019 structured-prediction  reinforcement-learning 

  Structured Prediction and Reinforcement Learning

• Apr 20, 2019 reinforcement-learning 

  Stochastic Policy Gradient

• Apr 12, 2019 reinforcement-learning 

  Q Learning

• Nov 21, 2018 deep-learning 

  Generative Adversarial Networks

• Oct 3, 2018 structured-prediction 

  Energy Based Models

• May 22, 2018 approximate-inference 

  Variational Inference

• Apr 27, 2018 approximate-inference 

  Expectation Maximization Explaination

• Apr 1, 2018 approximate-inference 

  Markov Chain Monte Carlo

• Jan 7, 2018 programming 

  Wrapping C Program For Python

• Aug 22, 2017 structured-prediction 

  Conditional Random Fields

• Aug 8, 2017 probabilistic-machine-learning  generalized-linear-model 

  Logistic Regression

• May 30, 2017 optimization 

  First Order and Second Order Methods for Convex Optimization

• Mar 15, 2017 probabilistic-machine-learning  generalized-linear-model  statistics 

  Probabilistic Interpretation of Ridge Regression and LASSO

• Jan 28, 2017 statistics  probabilistic-machine-learning 

  Point Estimation and Statistical Inference