criteo-research / optimization-continuous-action-crmLinks
☆30Updated 5 years ago
Alternatives and similar repositories for optimization-continuous-action-crm
Users that are interested in optimization-continuous-action-crm are comparing it to the libraries listed below
Sorting:
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 2 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Determinantal Point Processes in Julia☆12Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated last year
- ☆43Updated 6 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 7 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Black Box Variational Inference☆14Updated 10 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.☆24Updated 2 years ago
- Implementation for "Classification from Pairwise Similarity and Unlabeled Data"☆27Updated 5 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- code release for the NIPS 2016 paper☆27Updated 8 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"☆14Updated 4 years ago
- ☆16Updated 6 years ago
- PyTorch port and extension of the Deep Bayesian Bandits Library☆42Updated 5 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Code for "Neural causal learning from unknown interventions"☆103Updated 4 years ago
- ☆18Updated last year