BasicProbability / LectureNotes
Lecture Notes (with exercises) for Basic Probability course at University of Amsterdam
☆17Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for LectureNotes
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆38Updated 3 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- ☆26Updated 5 years ago
- ☆17Updated 6 years ago
- Determinantal Point Processes in Julia☆12Updated 4 years ago
- A Python implementation of the gradient REBAR estimator.☆45Updated 6 years ago
- ☆17Updated 7 years ago
- Library for Multi-Armed Bandit Algorithms☆56Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 9 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆11Updated 3 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆67Updated 10 years ago
- ☆18Updated 8 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- ☆12Updated 6 years ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆21Updated 5 years ago
- Code for the 2-simplicial Transformer paper☆18Updated 4 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆29Updated 4 years ago
- LaTeX package for randomizing author order based on a public seed.☆39Updated 9 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Optimally-weighted herding is Bayesian Quadrature☆16Updated 8 years ago
- Bounding causal effects in general (continuous, non-additive) instrumental variable models.☆13Updated last year