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:
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆12Updated 5 years ago
- ☆20Updated 5 years ago
- Tools for robustness evaluation in interpretability methods☆10Updated 4 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 3 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).☆20Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆23Updated 2 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆20Updated 2 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting☆11Updated 2 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 3 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago
- ☆32Updated 7 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 6 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago