CausalML / MultipleLoggersLinks
Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"
☆15Updated 4 years ago
Alternatives and similar repositories for MultipleLoggers
Users that are interested in MultipleLoggers are comparing it to the libraries listed below
Sorting:
- ☆21Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 3 years ago
- ☆12Updated 6 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 4 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- Tools for robustness evaluation in interpretability methods☆10Updated 4 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 5 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 3 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆16Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆14Updated 5 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- ☆32Updated 7 years ago
- ☆65Updated last year
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits☆10Updated last year
- An adaptive training algorithm for residual network☆17Updated 5 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆33Updated 6 years ago
- Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).☆20Updated 5 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Explanation Optimization☆13Updated 5 years ago
- Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting☆12Updated 2 years ago
- ☆30Updated 3 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago